| 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 | |
| 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 | |
| - 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 | |
| - 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 | |
| - 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 | |