798 lines
27 KiB
YAML
798 lines
27 KiB
YAML
Models:
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- Name: mask_rcnn_regnetx-3.2GF_fpn_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 5.0
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 40.3
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 36.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_1x_coco/mask_rcnn_regnetx-3.2GF_fpn_1x_coco_20200520_163141-2a9d1814.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: mask_rcnn_regnetx-4GF_fpn_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-4GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 5.5
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 41.5
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 37.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-4GF_fpn_1x_coco/mask_rcnn_regnetx-4GF_fpn_1x_coco_20200517_180217-32e9c92d.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: mask_rcnn_regnetx-6.4GF_fpn_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-6.4GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 6.1
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 41.0
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 37.1
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-6.4GF_fpn_1x_coco/mask_rcnn_regnetx-6.4GF_fpn_1x_coco_20200517_180439-3a7aae83.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: mask_rcnn_regnetx-8GF_fpn_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-8GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 6.4
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 41.7
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 37.5
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-8GF_fpn_1x_coco/mask_rcnn_regnetx-8GF_fpn_1x_coco_20200517_180515-09daa87e.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: mask_rcnn_regnetx-12GF_fpn_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-12GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 7.4
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 42.2
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 38
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-12GF_fpn_1x_coco/mask_rcnn_regnetx-12GF_fpn_1x_coco_20200517_180552-b538bd8b.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco
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In Collection: Mask R-CNN
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Config: configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco.py
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Metadata:
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Training Memory (GB): 5.0
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 40.3
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 36.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco/mask_rcnn_regnetx-3.2GF_fpn_mdconv_c3-c5_1x_coco_20200520_172726-75f40794.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-3.2GF_fpn_1x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 4.5
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 39.9
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_1x_coco/faster_rcnn_regnetx-3.2GF_fpn_1x_coco_20200517_175927-126fd9bf.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-3.2GF_fpn_2x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_2x_coco.py
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Metadata:
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Training Memory (GB): 4.5
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Epochs: 24
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 41.1
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_2x_coco/faster_rcnn_regnetx-3.2GF_fpn_2x_coco_20200520_223955-e2081918.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: retinanet_regnetx-800MF_fpn_1x_coco
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In Collection: RetinaNet
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Config: configs/regnet/retinanet_regnetx-800MF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 2.5
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 35.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-800MF_fpn_1x_coco/retinanet_regnetx-800MF_fpn_1x_coco_20200517_191403-f6f91d10.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: retinanet_regnetx-1.6GF_fpn_1x_coco
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In Collection: RetinaNet
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Config: configs/regnet/retinanet_regnetx-1.6GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 3.3
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 37.3
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-1.6GF_fpn_1x_coco/retinanet_regnetx-1.6GF_fpn_1x_coco_20200517_191403-37009a9d.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: retinanet_regnetx-3.2GF_fpn_1x_coco
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In Collection: RetinaNet
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Config: configs/regnet/retinanet_regnetx-3.2GF_fpn_1x_coco.py
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Metadata:
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Training Memory (GB): 4.2
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Epochs: 12
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 39.1
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/retinanet_regnetx-3.2GF_fpn_1x_coco/retinanet_regnetx-3.2GF_fpn_1x_coco_20200520_163141-cb1509e8.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py
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Metadata:
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Training Memory (GB): 2.3
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Epochs: 36
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 37.1
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-400MF_fpn_mstrain_3x_coco_20210526_095112-e1967c37.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py
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Metadata:
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Training Memory (GB): 2.8
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Epochs: 36
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 38.8
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-800MF_fpn_mstrain_3x_coco_20210526_095118-a2c70b20.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py
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Metadata:
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Training Memory (GB): 3.4
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Epochs: 36
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 40.5
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-1_20210526_095325-94aa46cc.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
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Version: v2.1.0
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- Name: faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco
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In Collection: Faster R-CNN
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Config: configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py
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Metadata:
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Training Memory (GB): 4.4
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Epochs: 36
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- RegNet
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 42.3
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Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-3_20210526_095152-e16a5227.pth
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Paper:
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URL: https://arxiv.org/abs/2003.13678
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Title: 'Designing Network Design Spaces'
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README: configs/regnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco
|
|
In Collection: Faster R-CNN
|
|
Config: configs/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 4.9
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 42.8
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210526_095201-65eaf841.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 5.0
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 43.1
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 38.7
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221-99879813.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 2.5
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 37.6
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 34.4
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco_20210601_235443-8aac57a4.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 2.9
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 39.5
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 36.1
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco_20210602_210641-715d51f5.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 3.6
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 40.9
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 37.5
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641-6764cff5.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 5.0
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 43.1
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 38.7
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641-6e63e19c.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco
|
|
In Collection: Mask R-CNN
|
|
Config: configs/regnet/mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 5.1
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 43.4
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 39.2
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco_20210602_032621-00f0331c.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco
|
|
In Collection: Cascade R-CNN
|
|
Config: configs/regnet/cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 4.3
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 41.6
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 36.4
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco_20210715_211619-5142f449.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco
|
|
In Collection: Cascade R-CNN
|
|
Config: configs/regnet/cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 4.8
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 42.8
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 37.6
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco_20210715_211616-dcbd13f4.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco
|
|
In Collection: Cascade R-CNN
|
|
Config: configs/regnet/cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 5.4
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 44.5
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 39.0
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-1_20210715_211616-75f29a61.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco
|
|
In Collection: Cascade R-CNN
|
|
Config: configs/regnet/cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 6.4
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 45.8
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 40.0
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-3_20210715_211616-b9c2c58b.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|
|
|
|
- Name: cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco
|
|
In Collection: Cascade R-CNN
|
|
Config: configs/regnet/cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 6.9
|
|
Epochs: 36
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- RegNet
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 45.8
|
|
- Task: Instance Segmentation
|
|
Dataset: COCO
|
|
Metrics:
|
|
mask AP: 40.0
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/cascade_mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210715_212034-cbb1be4c.pth
|
|
Paper:
|
|
URL: https://arxiv.org/abs/2003.13678
|
|
Title: 'Designing Network Design Spaces'
|
|
README: configs/regnet/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
|
|
Version: v2.1.0
|