| Collections: | |
| - Name: Grid R-CNN | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - SGD with Momentum | |
| - Weight Decay | |
| Training Resources: 8x V100 GPUs | |
| Architecture: | |
| - RPN | |
| - Dilated Convolution | |
| - ResNet | |
| - RoIAlign | |
| Paper: | |
| URL: https://arxiv.org/abs/1906.05688 | |
| Title: 'Grid R-CNN' | |
| README: configs/grid_rcnn/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/grid_rcnn.py#L6 | |
| Version: v2.0.0 | |
| Models: | |
| - Name: grid_rcnn_r50_fpn_gn-head_2x_coco | |
| In Collection: Grid R-CNN | |
| Config: configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py | |
| Metadata: | |
| Training Memory (GB): 5.1 | |
| inference time (ms/im): | |
| - value: 66.67 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 24 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 40.4 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth | |
| - Name: grid_rcnn_r101_fpn_gn-head_2x_coco | |
| In Collection: Grid R-CNN | |
| Config: configs/grid_rcnn/grid_rcnn_r101_fpn_gn-head_2x_coco.py | |
| Metadata: | |
| Training Memory (GB): 7.0 | |
| inference time (ms/im): | |
| - value: 79.37 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 24 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 41.5 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r101_fpn_gn-head_2x_coco/grid_rcnn_r101_fpn_gn-head_2x_coco_20200309-d6eca030.pth | |
| - Name: grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco | |
| In Collection: Grid R-CNN | |
| Config: configs/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco.py | |
| Metadata: | |
| Training Memory (GB): 8.3 | |
| inference time (ms/im): | |
| - value: 92.59 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 24 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 42.9 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco_20200130-d8f0e3ff.pth | |
| - Name: grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco | |
| In Collection: Grid R-CNN | |
| Config: configs/grid_rcnn/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco.py | |
| Metadata: | |
| Training Memory (GB): 11.3 | |
| inference time (ms/im): | |
| - value: 129.87 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 24 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 43.0 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco_20200204-ec76a754.pth | |