Image Clustering On Cub Birds
Metrics
Accuracy
NMI
Results
Performance results of various models on this benchmark
Model Name | Accuracy | NMI | Paper Title | Repository |
|---|---|---|---|---|
| FineGAN | 0.126 | 0.403 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | - |
| JULE | 0.044 | 0.203 | Joint Unsupervised Learning of Deep Representations and Image Clusters | - |
| DEPICT | 0.061 | 0.290 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
| DEPICT-Large | 0.061 | 0.297 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
0 of 4 row(s) selected.