Collections: | |
- Name: DINO | |
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/2203.03605 | |
Title: 'DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection' | |
README: configs/dino/README.md | |
Code: | |
URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dino.py#L17 | |
Version: v3.0.0rc6 | |
Models: | |
- Name: dino-4scale_r50_8xb2-12e_coco.py | |
In Collection: DINO | |
Config: configs/dino/dino-4scale_r50_8xb2-12e_coco.py | |
Metadata: | |
Epochs: 12 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
Metrics: | |
box AP: 49.0 | |
Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-4scale_r50_8xb2-12e_coco/dino-4scale_r50_8xb2-12e_coco_20221202_182705-55b2bba2.pth | |
- Name: dino-4scale_r50_8xb2-24e_coco.py | |
In Collection: DINO | |
Config: configs/dino/dino-4scale_r50_8xb2-24e_coco.py | |
Metadata: | |
Epochs: 24 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
- Name: dino-4scale_r50_8xb2-24e_coco.py | |
In Collection: DINO | |
Config: configs/dino/dino-4scale_r50_8xb2-36e_coco.py | |
Metadata: | |
Epochs: 36 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
- Name: dino-5scale_swin-l_8xb2-12e_coco.py | |
In Collection: DINO | |
Config: configs/dino/dino-5scale_swin-l_8xb2-12e_coco.py | |
Metadata: | |
Epochs: 12 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
Metrics: | |
box AP: 57.2 | |
Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-5scale_swin-l_8xb2-12e_coco/dino-5scale_swin-l_8xb2-12e_coco_20230228_072924-a654145f.pth | |
- Name: dino-5scale_swin-l_8xb2-36e_coco.py | |
In Collection: DINO | |
Config: configs/dino/dino-5scale_swin-l_8xb2-36e_coco.py | |
Metadata: | |
Epochs: 36 | |
Results: | |
- Task: Object Detection | |
Dataset: COCO | |
Metrics: | |
box AP: 58.4 | |
Weights: https://github.com/RistoranteRist/mmlab-weights/releases/download/dino-swinl/dino-5scale_swin-l_8xb2-36e_coco-5486e051.pth | |