| Collections: | |
| - Name: ATSS | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - SGD with Momentum | |
| - Weight Decay | |
| Training Resources: 8x V100 GPUs | |
| Architecture: | |
| - ATSS | |
| - FPN | |
| - ResNet | |
| Paper: | |
| URL: https://arxiv.org/abs/1912.02424 | |
| Title: 'Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection' | |
| README: configs/atss/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/atss.py#L6 | |
| Version: v2.0.0 | |
| Models: | |
| - Name: atss_r50_fpn_1x_coco | |
| In Collection: ATSS | |
| Config: configs/atss/atss_r50_fpn_1x_coco.py | |
| Metadata: | |
| Training Memory (GB): 3.7 | |
| inference time (ms/im): | |
| - value: 50.76 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 12 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 39.4 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth | |
| - Name: atss_r101_fpn_1x_coco | |
| In Collection: ATSS | |
| Config: configs/atss/atss_r101_fpn_1x_coco.py | |
| Metadata: | |
| Training Memory (GB): 5.6 | |
| inference time (ms/im): | |
| - value: 81.3 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 12 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 41.5 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.pth | |