| Collections: | |
| - Name: Conditional DETR | |
| Metadata: | |
| Training Data: COCO | |
| Training Techniques: | |
| - AdamW | |
| - Multi Scale Train | |
| - Gradient Clip | |
| Training Resources: 8x A100 GPUs | |
| Architecture: | |
| - ResNet | |
| - Transformer | |
| Paper: | |
| URL: https://arxiv.org/abs/2108.06152 | |
| Title: 'Conditional DETR for Fast Training Convergence' | |
| README: configs/conditional_detr/README.md | |
| Code: | |
| URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/conditional_detr.py#L14 | |
| Version: v3.0.0rc6 | |
| Models: | |
| - Name: conditional-detr_r50_8xb2-50e_coco.py | |
| In Collection: Conditional DETR | |
| Config: configs/conditional_detr/conditional-detr_r50_8xb2-50e_coco.py | |
| Metadata: | |
| Epochs: 50 | |
| Results: | |
| - Task: Object Detection | |
| Dataset: COCO | |
| Metrics: | |
| box AP: 40.9 | |
| Weights: https://download.openmmlab.com/mmdetection/v3.0/conditional_detr/conditional-detr_r50_8xb2-50e_coco/conditional-detr_r50_8xb2-50e_coco_20221121_180202-c83a1dc0.pth | |