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