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Models/Leopart (ViT-B/8)

Leopart (ViT-B/8)

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 SegmentationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-04-27
47.2
best: 53.4 (CAUSE (iBOT, ViT-B/16))
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101
Semantic SegmentationonPASCAL VOC 2012 val
FCN [mIoU]· uses extra data· 2022-04-27
76.3
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101

Computer Vision2 results

Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-04-27
47.2
best: 53.4 (CAUSE (iBOT, ViT-B/16))
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101
Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
FCN [mIoU]· uses extra data· 2022-04-27
76.3
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101

Audio2 results

10-shot image generationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-04-27
47.2
best: 53.4 (CAUSE (iBOT, ViT-B/16))
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101
10-shot image generationonPASCAL VOC 2012 val
FCN [mIoU]· uses extra data· 2022-04-27
76.3
SOTA
Self-Supervised Learning of Object Parts for Semantic Segmentation arXiv:2204.13101