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Models/Visual Attention Network (VAN-B6 + Mask2Former)

Visual Attention Network (VAN-B6 + Mask2Former)

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Medical3 results

Semantic SegmentationonCOCO minival
PQ· 2022-02-20
58.2
best: 61.2 (HyperSeg (Swin-B))
SOTA
Visual Attention Network arXiv:2202.09741
Semantic SegmentationonCOCO minival
PQst· 2022-02-20
48.2
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741
Semantic SegmentationonCOCO minival
PQth· 2022-02-20
64.8
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741

Audio3 results

10-shot image generationonCOCO minival
PQ· 2022-02-20
58.2
best: 61.2 (HyperSeg (Swin-B))
SOTA
Visual Attention Network arXiv:2202.09741
10-shot image generationonCOCO minival
PQst· 2022-02-20
48.2
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741
10-shot image generationonCOCO minival
PQth· 2022-02-20
64.8
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741

Computer Vision3 results

Panoptic SegmentationonCOCO minival
PQ· 2022-02-20
58.2
best: 61.2 (HyperSeg (Swin-B))
SOTA
Visual Attention Network arXiv:2202.09741
Panoptic SegmentationonCOCO minival
PQst· 2022-02-20
48.2
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741
Panoptic SegmentationonCOCO minival
PQth· 2022-02-20
64.8
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Visual Attention Network arXiv:2202.09741