VMM

Reported on 5 benchmarks across 2 tasks · 1 paper · 1 SOTA

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

Computer Vision5 results

Image ClusteringonFashion-MNIST
Accuracy· 2024-02-06
0.716
best: 0.791 (PRCut (DinoV2))
SOTA
The VampPrior Mixture Model arXiv:2402.04412
Image ClusteringonFashion-MNIST
NMI· 2024-02-06
0.71
best: 0.758 (PRCut (DinoV2))
The VampPrior Mixture Model arXiv:2402.04412
Image ClusteringonMNIST-full
Accuracy· 2024-02-06
0.967
best: 0.992 (SPC)
The VampPrior Mixture Model arXiv:2402.04412
Image ClusteringonMNIST-full
NMI· 2024-02-06
0.92
best: 0.975 (SPC)
The VampPrior Mixture Model arXiv:2402.04412
Image ClassificationonMNIST
Accuracy· 2024-02-06
96.74
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
The VampPrior Mixture Model arXiv:2402.04412