| Collections: | |
| - Name: BoxInst | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - SGD with Momentum | |
| - Weight Decay | |
| Training Resources: 8x A100 GPUs | |
| Architecture: | |
| - ResNet | |
| - FPN | |
| - CondInst | |
| Paper: | |
| URL: https://arxiv.org/abs/2012.02310 | |
| Title: 'BoxInst: High-Performance Instance Segmentation with Box Annotations' | |
| README: configs/boxinst/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v3.0.0rc6/mmdet/models/detectors/boxinst.py#L8 | |
| Version: v3.0.0rc6 | |
| Models: | |
| - Name: boxinst_r50_fpn_ms-90k_coco | |
| In Collection: BoxInst | |
| Config: configs/boxinst/boxinst_r50_fpn_ms-90k_coco.py | |
| Metadata: | |
| Iterations: 90000 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 39.4 | |
| - Task: Instance Segmentation | |
| Dataset: COCO | |
| Metrics: | |
| mask AP: 30.8 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/boxinst/boxinst_r50_fpn_ms-90k_coco/boxinst_r50_fpn_ms-90k_coco_20221228_163052-6add751a.pth | |
| - Name: boxinst_r101_fpn_ms-90k_coco | |
| In Collection: BoxInst | |
| Config: configs/boxinst/boxinst_r101_fpn_ms-90k_coco.py | |
| Metadata: | |
| Iterations: 90000 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 41.8 | |
| - Task: Instance Segmentation | |
| Dataset: COCO | |
| Metrics: | |
| mask AP: 32.7 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/boxinst/boxinst_r101_fpn_ms-90k_coco/boxinst_r101_fpn_ms-90k_coco_20221229_145106-facf375b.pth | |