100 lines
3.3 KiB
YAML
100 lines
3.3 KiB
YAML
Collections:
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- Name: InstaBoost
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Metadata:
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Training Data: COCO
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Training Techniques:
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- InstaBoost
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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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Paper:
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URL: https://arxiv.org/abs/1908.07801
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Title: 'Instaboost: Boosting instance segmentation via probability map guided copy-pasting'
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README: configs/instaboost/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/datasets/pipelines/instaboost.py#L7
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Version: v2.0.0
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Models:
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- Name: mask_rcnn_r50_fpn_instaboost_4x_coco
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In Collection: InstaBoost
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Config: configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco.py
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Metadata:
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Training Memory (GB): 4.4
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inference time (ms/im):
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- value: 57.14
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (800, 1333)
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Epochs: 48
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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: 40.6
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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/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco/mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-d025f83a.pth
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- Name: mask_rcnn_r101_fpn_instaboost_4x_coco
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In Collection: InstaBoost
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Config: configs/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco.py
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Metadata:
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Training Memory (GB): 6.4
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Epochs: 48
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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: 42.5
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 38.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco/mask_rcnn_r101_fpn_instaboost_4x_coco_20200703_235738-f23f3a5f.pth
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- Name: mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco
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In Collection: InstaBoost
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Config: configs/instaboost/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py
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Metadata:
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Training Memory (GB): 10.7
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Epochs: 48
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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: 44.7
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 39.7
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Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco_20200515_080947-8ed58c1b.pth
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- Name: cascade_mask_rcnn_r50_fpn_instaboost_4x_coco
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In Collection: InstaBoost
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Config: configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py
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Metadata:
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Training Memory (GB): 6.0
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inference time (ms/im):
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- value: 83.33
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (800, 1333)
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Epochs: 48
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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: 43.7
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 38.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-c19d98d9.pth
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