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Models/MasK DINO (SwinL,single-scale)

MasK DINO (SwinL,single-scale)

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

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

Medical2 results

Semantic SegmentationonCOCO minival
AP· uses extra data· 2022-06-06
50.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
Semantic SegmentationonCOCO minival
PQ· uses extra data· 2022-06-06
59.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777

Audio2 results

10-shot image generationonCOCO minival
AP· uses extra data· 2022-06-06
50.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
10-shot image generationonCOCO minival
PQ· uses extra data· 2022-06-06
59.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777

Computer Vision2 results

Panoptic SegmentationonCOCO minival
AP· uses extra data· 2022-06-06
50.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777
Panoptic SegmentationonCOCO minival
PQ· uses extra data· 2022-06-06
59.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation arXiv:2206.02777