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Models/MDC (Supervised pretrain)

MDC (Supervised pretrain)

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 SegmentationonImageNet-S-50
mIoU (test)· 2018-07-15
14.3
best: 42.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
Semantic SegmentationonImageNet-S-50
mIoU (val)· 2018-07-15
14.6
best: 43.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520

Computer Vision2 results

Unsupervised Semantic SegmentationonImageNet-S-50
mIoU (test)· 2018-07-15
14.3
best: 42.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
Unsupervised Semantic SegmentationonImageNet-S-50
mIoU (val)· 2018-07-15
14.6
best: 43.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520

Audio2 results

10-shot image generationonImageNet-S-50
mIoU (test)· 2018-07-15
14.3
best: 42.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
10-shot image generationonImageNet-S-50
mIoU (val)· 2018-07-15
14.6
best: 43.3 (PASS (+Saliency map))
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520