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Models/FS4

FS4

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 SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2022-02-24
40.38
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981
Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2022-02-24
15.69
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981

Computer Vision2 results

Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2022-02-24
40.38
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981
Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2022-02-24
15.69
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981

Audio2 results

10-shot image generationonCOCO-Stuff-27
Clustering [Accuracy]· 2022-02-24
40.38
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981
10-shot image generationonCOCO-Stuff-27
Clustering [mIoU]· 2022-02-24
15.69
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Fully Self-Supervised Learning for Semantic Segmentation arXiv:2202.11981