| Collections: | |
| - Name: Rethinking Classification and Localization for Object Detection | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - SGD with Momentum | |
| - Weight Decay | |
| Training Resources: 8x V100 GPUs | |
| Architecture: | |
| - FPN | |
| - RPN | |
| - ResNet | |
| - RoIAlign | |
| Paper: | |
| URL: https://arxiv.org/pdf/1904.06493 | |
| Title: 'Rethinking Classification and Localization for Object Detection' | |
| README: configs/double_heads/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/roi_heads/double_roi_head.py#L6 | |
| Version: v2.0.0 | |
| Models: | |
| - Name: dh-faster-rcnn_r50_fpn_1x_coco | |
| In Collection: Rethinking Classification and Localization for Object Detection | |
| Config: configs/double_heads/dh-faster-rcnn_r50_fpn_1x_coco.py | |
| Metadata: | |
| Training Memory (GB): 6.8 | |
| inference time (ms/im): | |
| - value: 105.26 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 12 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 40.0 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/double_heads/dh_faster_rcnn_r50_fpn_1x_coco/dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth | |