117 lines
4.0 KiB
YAML
117 lines
4.0 KiB
YAML
Collections:
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- Name: VFNet
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Metadata:
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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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- FPN
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- ResNet
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- Varifocal Loss
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Paper:
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URL: https://arxiv.org/abs/2008.13367
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Title: 'VarifocalNet: An IoU-aware Dense Object Detector'
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README: configs/vfnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.6.0/mmdet/models/detectors/vfnet.py#L6
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Version: v2.6.0
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Models:
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- Name: vfnet_r50_fpn_1x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r50_fpn_1x_coco.py
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Metadata:
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Epochs: 12
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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: 41.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_1x_coco/vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth
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- Name: vfnet_r50_fpn_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r50_fpn_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 44.8
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_mstrain_2x_coco/vfnet_r50_fpn_mstrain_2x_coco_20201027-7cc75bd2.pth
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- Name: vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 48.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-6879c318.pth
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- Name: vfnet_r101_fpn_1x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r101_fpn_1x_coco.py
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Metadata:
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Epochs: 12
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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: 43.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_1x_coco/vfnet_r101_fpn_1x_coco_20201027pth-c831ece7.pth
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- Name: vfnet_r101_fpn_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 46.7
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_mstrain_2x_coco/vfnet_r101_fpn_mstrain_2x_coco_20201027pth-4a5d53f1.pth
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- Name: vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 49.2
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-7729adb5.pth
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- Name: vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 50.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-d300a6fc.pth
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- Name: vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco
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In Collection: VFNet
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Config: configs/vfnet/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py
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Metadata:
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Epochs: 24
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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: 50.8
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Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-b5f6da5e.pth
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