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Models/JULE-RC

JULE-RC

Reported on 9 benchmarks across 1 task · 1 paper · 8 SOTA

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

Computer Vision9 results

Image ClusteringonCMU-PIE
NMI· 2016-04-13
1
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonUMist
NMI· 2016-04-13
0.877
best: 0.939 (J-DSSC (Scattered))
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonMNIST-full
NMI· 2016-04-13
0.917
best: 0.975 (SPC)
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonFRGC
NMI· 2016-04-13
0.574
best: 0.583 (DEPICT)
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonUSPS
NMI· 2016-04-13
0.913
best: 0.954 (SPC)
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonCoil-20
NMI· 2016-04-13
1
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonYouTube Faces DB
NMI· 2016-04-13
0.848
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image Clusteringoncoil-100
NMI· 2016-04-13
0.985
best: 0.997 (A-DSSC (Scattered))
SOTA
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628
Image ClusteringonMNIST-full
Accuracy· 2016-04-13
0.964
best: 0.992 (SPC)
Joint Unsupervised Learning of Deep Representations and Image Clusters arXiv:1604.03628