Image Clustering on CIFAR-10 (full)
0.926AccuracySPICE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SPICEbackbone=WideResNet-28-2, joint training=true2021.03 | 0.926 | 0.865 | 0.852 | |
| SPICEsbackbone=WideResNet-28-2, joint training=false2021.03 | 0.838 | 0.734 | 0.705 | |
| IDFD2021.03 | 0.815 | 0.711 | 0.663 | |
| CCbackbone=WideResNet-28-22021.03 | 0.79 | 0.705 | 0.637 | |
| SENet2021.10 | 0.765 | 0.655 | 0.573 | |
| PICA2021.03 | 0.696 | 0.591 | 0.512 | |
| ESC2021.10 | 0.653 | 0.629 | 0.438 | |
| DCCM2021.10 | 0.623 | 0.496 | 0.408 | |
| DCCM2021.03 | 0.623 | 0.496 | 0.408 | |
| IICbackbone=WideResNet-28-22021.03 | 0.617 | — | — | |
| EnSC2021.10 | 0.613 | 0.601 | 0.43 | |
| GATCluster2021.03 | 0.61 | 0.475 | 0.402 | |
| k-means2021.10 | 0.525 | 0.589 | 0.276 | |
| DDC2021.03 | 0.524 | 0.424 | 0.329 | |
| DAC2021.10 | 0.522 | 0.396 | 0.306 | |
| DAC2021.03 | 0.522 | 0.396 | 0.306 | |
| DSEC2021.03 | 0.478 | 0.438 | 0.34 | |
| Spectral2021.10 | 0.455 | 0.574 | 0.256 | |
| DeepCluster2021.03 | 0.374 | — | — | |
| SSC-OMP2021.10 | 0.326 | 0.498 | 0.196 | |
| DCGAN2021.03 | 0.315 | 0.265 | 0.176 | |
| AE2021.03 | 0.314 | 0.239 | 0.169 | |
| DEC2021.10 | 0.301 | 0.257 | 0.161 | |
| DEC2021.03 | 0.301 | 0.257 | 0.161 | |
| SDAE2021.03 | 0.297 | 0.251 | 0.163 | |
| VAE2021.03 | 0.291 | 0.245 | 0.167 | |
| DeCNN2021.03 | 0.282 | 0.24 | 0.174 | |
| JULE2021.10 | 0.272 | 0.192 | 0.138 | |
| JULE2021.03 | 0.272 | 0.192 | 0.138 | |
| SC2021.03 | 0.247 | 0.103 | 0.085 | |
| k-means2021.03 | 0.229 | 0.087 | 0.049 | |
| AC2021.03 | 0.228 | 0.105 | 0.065 | |
| NMF2021.03 | 0.19 | 0.081 | 0.034 |