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Models/PriMaPs-EM (DINO ViT-S/8)

PriMaPs-EM (DINO ViT-S/8)

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Medical2 results

Semantic SegmentationonCityscapes test
Accuracy· 2024-04-25
81.2
best: 84.3 (ViCE)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818
Semantic SegmentationonCityscapes test
mIoU· 2024-04-25
19.4
best: 67.3 (EDANet)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818

Computer Vision2 results

Unsupervised Semantic SegmentationonCityscapes test
Accuracy· 2024-04-25
81.2
best: 84.3 (ViCE)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818
Unsupervised Semantic SegmentationonCityscapes test
mIoU· 2024-04-25
19.4
best: 26.8 (CUPS)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818

Audio2 results

10-shot image generationonCityscapes test
Accuracy· 2024-04-25
81.2
best: 84.3 (ViCE)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818
10-shot image generationonCityscapes test
mIoU· 2024-04-25
19.4
best: 67.3 (EDANet)
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals arXiv:2404.16818