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Models/ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former)

ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former)

Reported on 12 benchmarks across 3 tasks · 1 paper · 12 SOTA

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

Medical4 results

Semantic SegmentationonCOCO minival
AP· 2022-05-17
48.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Semantic SegmentationonCOCO minival
PQ· 2022-05-17
58.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Semantic SegmentationonCOCO minival
PQst· 2022-05-17
48.4
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Semantic SegmentationonCOCO minival
PQth· 2022-05-17
65
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534

Audio4 results

10-shot image generationonCOCO minival
AP· 2022-05-17
48.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
10-shot image generationonCOCO minival
PQ· 2022-05-17
58.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
10-shot image generationonCOCO minival
PQst· 2022-05-17
48.4
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
10-shot image generationonCOCO minival
PQth· 2022-05-17
65
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534

Computer Vision4 results

Panoptic SegmentationonCOCO minival
AP· 2022-05-17
48.9
best: 53.2 (OpenSeeD (SwinL, single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Panoptic SegmentationonCOCO minival
PQ· 2022-05-17
58.4
best: 61.2 (HyperSeg (Swin-B))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Panoptic SegmentationonCOCO minival
PQst· 2022-05-17
48.4
best: 49.2 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534
Panoptic SegmentationonCOCO minival
PQth· 2022-05-17
65
best: 67.1 (OneFormer (InternImage-H,single-scale))
SOTA
Vision Transformer Adapter for Dense Predictions arXiv:2205.08534