Image Clustering On Stanford Dogs
Metrics
Accuracy
NMI
Results
Performance results of various models on this benchmark
Model Name | Accuracy | NMI | Paper Title | Repository |
|---|---|---|---|---|
| DEPICT | 0.052 | 0.182 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
| JULE | 0.043 | 0.142 | Joint Unsupervised Learning of Deep Representations and Image Clusters | - |
| FineGAN | 0.079 | 0.233 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | - |
| DEPICT-Large | 0.054 | 0.183 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
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