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Models/MasK DINO (SwinL, multi-scale)

MasK DINO (SwinL, multi-scale)

Reported on 6 benchmarks across 3 tasks · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Instance SegmentationonCOCO minival
mask AP· uses extra data· 2022-06-06
54.5
best: 56.6 (Co-DETR)
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
Instance SegmentationonCOCO test-dev
mask AP· uses extra data· 2022-06-06
54.7
best: 57.1 (Co-DETR)
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777

Medical2 results

Semantic SegmentationonADE20K
Params (M)· uses extra data· 2022-06-06
223
best: 3000 (FD-SwinV2-G)
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
Semantic SegmentationonADE20K
Validation mIoU· uses extra data· 2022-06-06
60.8
best: 63.6 (ViT-P (InternImage-H))
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777

Audio2 results

10-shot image generationonADE20K
Params (M)· uses extra data· 2022-06-06
223
best: 3000 (FD-SwinV2-G)
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
10-shot image generationonADE20K
Validation mIoU· uses extra data· 2022-06-06
60.8
best: 63.6 (ViT-P (InternImage-H))
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777