ADEC

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Computer Vision2 results

Image ClusteringonMNIST-full
Accuracy· 2019-09-26
0.99
best: 0.992 (SPC)
SOTA
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift arXiv:1909.11832
Image ClusteringonMNIST-full
NMI· 2019-09-26
0.971
best: 0.975 (SPC)
SOTA
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift arXiv:1909.11832