1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374 |
- 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
|