| Collections: | |
| - Name: CornerNet | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - Adam | |
| Training Resources: 8x V100 GPUs | |
| Architecture: | |
| - Corner Pooling | |
| - Stacked Hourglass Network | |
| Paper: | |
| URL: https://arxiv.org/abs/1808.01244 | |
| Title: 'CornerNet: Detecting Objects as Paired Keypoints' | |
| README: configs/cornernet/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v2.3.0/mmdet/models/detectors/cornernet.py#L9 | |
| Version: v2.3.0 | |
| Models: | |
| - Name: cornernet_hourglass104_mstest_10x5_210e_coco | |
| In Collection: CornerNet | |
| Config: configs/cornernet/cornernet_hourglass104_mstest_10x5_210e_coco.py | |
| Metadata: | |
| Training Resources: 10x V100 GPUs | |
| Batch Size: 50 | |
| Training Memory (GB): 13.9 | |
| inference time (ms/im): | |
| - value: 238.1 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 210 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 41.2 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_10x5_210e_coco/cornernet_hourglass104_mstest_10x5_210e_coco_20200824_185720-5fefbf1c.pth | |
| - Name: cornernet_hourglass104_mstest_8x6_210e_coco | |
| In Collection: CornerNet | |
| Config: configs/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco.py | |
| Metadata: | |
| Batch Size: 48 | |
| Training Memory (GB): 15.9 | |
| inference time (ms/im): | |
| - value: 238.1 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 210 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 41.2 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco/cornernet_hourglass104_mstest_8x6_210e_coco_20200825_150618-79b44c30.pth | |
| - Name: cornernet_hourglass104_mstest_32x3_210e_coco | |
| In Collection: CornerNet | |
| Config: configs/cornernet/cornernet_hourglass104_mstest_32x3_210e_coco.py | |
| Metadata: | |
| Training Resources: 32x V100 GPUs | |
| Batch Size: 96 | |
| Training Memory (GB): 9.5 | |
| inference time (ms/im): | |
| - value: 256.41 | |
| hardware: V100 | |
| backend: PyTorch | |
| batch size: 1 | |
| mode: FP32 | |
| resolution: (800, 1333) | |
| Epochs: 210 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 40.4 | |
| Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_32x3_210e_coco/cornernet_hourglass104_mstest_32x3_210e_coco_20200819_203110-1efaea91.pth | |