| Collections: | |
| - Name: CrowdDet | |
| Metadata: | |
| Training Data: CrowdHuman | |
| Training Techniques: | |
| - SGD | |
| - EMD Loss | |
| Training Resources: 8x A100 GPUs | |
| Architecture: | |
| - FPN | |
| - RPN | |
| - ResNet | |
| - RoIPool | |
| Paper: | |
| URL: https://arxiv.org/abs/2003.09163 | |
| Title: 'Detection in Crowded Scenes: One Proposal, Multiple Predictions' | |
| README: configs/crowddet/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/v3.0.0rc3/mmdet/models/detectors/crowddet.py | |
| Version: v3.0.0rc3 | |
| Models: | |
| - Name: crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman | |
| In Collection: CrowdDet | |
| Config: configs/crowddet/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman.py | |
| Metadata: | |
| Training Memory (GB): 4.8 | |
| Epochs: 30 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: CrowdHuman | |
| Metrics: | |
| box AP: 90.32 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/crowddet/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman_20221024_215917-45602806.pth | |
| - Name: crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman | |
| In Collection: CrowdDet | |
| Config: configs/crowddet/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman.py | |
| Metadata: | |
| Training Memory (GB): 4.4 | |
| Epochs: 30 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: CrowdHuman | |
| Metrics: | |
| box AP: 90.0 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/crowddet/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman_20221023_174954-dc319c2d.pth | |