| Collections: | |
| - Name: CondInst | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - SGD with Momentum | |
| - Weight Decay | |
| Training Resources: 8x A100 GPUs | |
| Architecture: | |
| - FPN | |
| - FCOS | |
| - ResNet | |
| Paper: https://arxiv.org/abs/2003.05664 | |
| README: configs/condinst/README.md | |
| Models: | |
| - Name: condinst_r50_fpn_ms-poly-90k_coco_instance | |
| In Collection: CondInst | |
| Config: configs/condinst/condinst_r50_fpn_ms-poly-90k_coco_instance.py | |
| Metadata: | |
| Training Memory (GB): 4.4 | |
| Iterations: 90000 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 39.8 | |
| - Task: Instance Segmentation | |
| Dataset: COCO | |
| Metrics: | |
| mask AP: 36.0 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/condinst/condinst_r50_fpn_ms-poly-90k_coco_instance/condinst_r50_fpn_ms-poly-90k_coco_instance_20221129_125223-4c186406.pth | |