Image Clustering On Stanford Cars
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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 | - |
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