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- Collections:
- - Name: InstaBoost
- Metadata:
- Training Data: COCO
- Training Techniques:
- - InstaBoost
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Paper:
- URL: https://arxiv.org/abs/1908.07801
- Title: 'Instaboost: Boosting instance segmentation via probability map guided copy-pasting'
- README: configs/instaboost/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/datasets/pipelines/instaboost.py#L7
- Version: v2.0.0
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- Models:
- - Name: mask_rcnn_r50_fpn_instaboost_4x_coco
- In Collection: InstaBoost
- Config: configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco.py
- Metadata:
- Training Memory (GB): 4.4
- inference time (ms/im):
- - value: 57.14
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 48
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.6
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 36.6
- 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
- In Collection: InstaBoost
- Config: configs/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco.py
- Metadata:
- Training Memory (GB): 6.4
- Epochs: 48
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.5
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.0
- 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
- In Collection: InstaBoost
- Config: configs/instaboost/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py
- Metadata:
- Training Memory (GB): 10.7
- Epochs: 48
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.7
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.7
- 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
- In Collection: InstaBoost
- Config: configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py
- Metadata:
- Training Memory (GB): 6.0
- inference time (ms/im):
- - value: 83.33
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 48
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 43.7
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.0
- 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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