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Models/ViT-P (OneFormer, InternImage-H)

ViT-P (OneFormer, InternImage-H)

Reported on 15 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.

Medical6 results

Semantic SegmentationonCityscapes val
AP· 2025-05-26
50.6
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Semantic SegmentationonCityscapes val
PQ· 2025-05-26
70.8
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Semantic SegmentationonCOCO (Common Objects in Context)
mIoU· 2025-05-26
69.1
best: 77.2 (HyperSeg)
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Semantic SegmentationonADE20K
Params (M)· 2025-05-26
1400
best: 3000 (FD-SwinV2-G)
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Semantic SegmentationonADE20K
Validation mIoU· 2025-05-26
61.6
best: 63.6 (ViT-P (InternImage-H))
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Semantic SegmentationonCityscapes val
mIoU· 2025-05-26
85.4
best: 90.3 (EfficientPS (Cityscapes-fine))
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795

Audio6 results

10-shot image generationonCityscapes val
AP· 2025-05-26
50.6
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
10-shot image generationonCityscapes val
PQ· 2025-05-26
70.8
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
10-shot image generationonCOCO (Common Objects in Context)
mIoU· 2025-05-26
69.1
best: 77.2 (HyperSeg)
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
10-shot image generationonADE20K
Params (M)· 2025-05-26
1400
best: 3000 (FD-SwinV2-G)
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
10-shot image generationonADE20K
Validation mIoU· 2025-05-26
61.6
best: 63.6 (ViT-P (InternImage-H))
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
10-shot image generationonCityscapes val
mIoU· 2025-05-26
85.4
best: 90.3 (EfficientPS (Cityscapes-fine))
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795

Computer Vision3 results

Panoptic SegmentationonCityscapes val
AP· 2025-05-26
50.6
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Panoptic SegmentationonCityscapes val
PQ· 2025-05-26
70.8
SOTA
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795
Panoptic SegmentationonCityscapes val
mIoU· 2025-05-26
85.4
best: 90.3 (EfficientPS (Cityscapes-fine))
The Missing Point in Vision Transformers for Universal Image Segmentation arXiv:2505.19795