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Models/MDC

MDC

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 SegmentationonCityscapes test
Accuracy· 2018-07-15
40.7
best: 84.3 (ViCE)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
Semantic SegmentationonCityscapes test
mIoU· 2018-07-15
7.1
best: 67.3 (EDANet)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520

Computer Vision2 results

Unsupervised Semantic SegmentationonCityscapes test
Accuracy· 2018-07-15
40.7
best: 84.3 (ViCE)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
Unsupervised Semantic SegmentationonCityscapes test
mIoU· 2018-07-15
7.1
best: 26.8 (CUPS)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520

Audio2 results

10-shot image generationonCityscapes test
Accuracy· 2018-07-15
40.7
best: 84.3 (ViCE)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520
10-shot image generationonCityscapes test
mIoU· 2018-07-15
7.1
best: 67.3 (EDANet)
SOTA
Deep Clustering for Unsupervised Learning of Visual Features arXiv:1807.05520