Image Clustering on Tiny-ImageNet
0.6888ACCDINOv2 with register tokens
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DINOv2 with register tokensBackbone=ViT-B/14 (distilled)2024.10 | 0.6888 | 0.8169 | 0.5013 | |
| Inference-Time Attention Engineering (ITAE)Backbone=ViT-B/14 (distilled)2024.10 | 0.6823 | 0.8178 | 0.5227 | |
| DINOv2 (original)Backbone=ViT-B/14 (distilled)2024.10 | 0.6781 | 0.8128 | 0.5068 | |
| TCC2021.06 | 0.306 | 0.435 | 0.152 | |
| DLME2022.07 | 0.182 | — | — | |
| CRLC2022.07 | 0.153 | — | — | |
| DLME-A1variant=A12022.07 | 0.145 | — | — | |
| CC2022.07 | 0.14 | — | — | |
| CC2021.06 | 0.14 | 0.34 | 0.071 | |
| DLME-A3variant=A32022.07 | 0.134 | — | — | |
| DLME-A2variant=A22022.07 | 0.133 | — | — | |
| MMDCAggregation Type=best2019.12 | 0.121 | 0.277 | — | |
| MMDCAggregation Type=avg2019.12 | 0.119 | 0.274 | — | |
| DCCM2019.04 | 0.108 | 0.224 | 0.038 | |
| DCCM (2019)2019.12 | 0.108 | 0.224 | — | |
| DCCM2022.07 | 0.108 | — | — | |
| DCCM2021.06 | 0.108 | 0.224 | 0.038 | |
| PICA2022.07 | 0.098 | — | — | |
| DAC2019.04 | 0.066 | 0.19 | 0.017 | |
| DAC (2017)2019.12 | 0.066 | 0.19 | — | |
| DAC2022.07 | 0.066 | — | — | |
| AE2019.04 | 0.041 | 0.131 | 0.007 | |
| GAN2019.04 | 0.041 | 0.135 | 0.007 | |
| AE2019.12 | 0.041 | 0.131 | — | |
| DAE2019.04 | 0.039 | 0.127 | 0.007 | |
| DEC2019.04 | 0.037 | 0.115 | 0.007 | |
| DEC (2016)2019.12 | 0.037 | 0.115 | — | |
| VAE2019.04 | 0.036 | 0.113 | 0.006 | |
| DeCNN2019.04 | 0.035 | 0.111 | 0.006 | |
| JULE2019.04 | 0.033 | 0.102 | 0.006 | |
| JULE (2016)2019.12 | 0.033 | 0.102 | — | |
| NMF2019.04 | 0.029 | 0.072 | 0.005 | |
| AC2019.04 | 0.027 | 0.069 | 0.005 | |
| K-means2019.04 | 0.025 | 0.065 | 0.005 | |
| k-means2019.12 | 0.025 | 0.065 | — | |
| SC2019.04 | 0.022 | 0.063 | 0.004 | |
| SC2019.12 | 0.022 | 0.063 | — |