Image Clustering On Cub Birds
Metriken
Accuracy
NMI
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 | - |
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