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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
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