Image Clustering On Stanford Cars
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| TURTLE (CLIP + DINOv2) | 0.646 | Let Go of Your Labels with Unsupervised Transfer | - |
| DEPICT | 0.063 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
| JULE | 0.046 | Joint Unsupervised Learning of Deep Representations and Image Clusters | - |
| FineGAN | 0.078 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | - |
| DEPICT-Large | 0.062 | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization | - |
0 of 5 row(s) selected.