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Models/DEPICT-Large

DEPICT-Large

Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA

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

Computer Vision6 results

Image ClusteringonStanford Cars
NMI· 2017-04-20
0.33
best: 0.354 (FineGAN)
SOTA
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327
Image ClusteringonStanford Dogs
Accuracy· 2017-04-20
0.054
best: 0.079 (FineGAN)
SOTA
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327
Image ClusteringonStanford Dogs
NMI· 2017-04-20
0.183
best: 0.233 (FineGAN)
SOTA
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327
Image ClusteringonCUB Birds
Accuracy· 2017-04-20
0.061
best: 0.126 (FineGAN)
SOTA
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327
Image ClusteringonCUB Birds
NMI· 2017-04-20
0.297
best: 0.403 (FineGAN)
SOTA
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327
Image ClusteringonStanford Cars
Accuracy· 2017-04-20
0.062
best: 0.646 (TURTLE (CLIP + DINOv2))
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization arXiv:1704.06327