Collections: | |
- Name: DAB-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/2201.12329 | |
Title: 'DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR' | |
README: configs/dab_detr/README.md | |
Code: | |
URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dab_detr.py#L15 | |
Version: v3.0.0rc6 | |
Models: | |
- Name: dab-detr_r50_8xb2-50e_coco.py | |
In Collection: DAB-DETR | |
Config: configs/dab_detr/dab-detr_r50_8xb2-50e_coco.py | |
Metadata: | |
Epochs: 50 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
Metrics: | |
box AP: 42.3 | |
Weights: https://download.openmmlab.com/mmdetection/v3.0/dab_detr/dab-detr_r50_8xb2-50e_coco/dab-detr_r50_8xb2-50e_coco_20221122_120837-c1035c8c.pth | |