Image Clustering on Tiny-ImageNet-200
30.5ACCSPICEs
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SPICEsbackbone=ResNet-34, joint training=false2021.03 | 30.5 | 0.449 | 0.161 | |
| CCbackbone=ResNet-342021.03 | 14 | 0.34 | 0.071 | |
| DCCM2021.03 | 10.8 | 0.224 | 0.038 | |
| PICA2021.03 | 9.8 | 0.277 | 0.04 | |
| DAC2021.03 | 6.6 | 0.19 | 0.017 | |
| DSEC2021.03 | 6.6 | 0.19 | 0.017 | |
| AE2021.03 | 4.1 | 0.131 | 0.007 | |
| DCGAN2021.03 | 4.1 | 0.135 | 0.007 | |
| SDAE2021.03 | 3.9 | 0.127 | 0.007 | |
| DEC2021.03 | 3.7 | 0.115 | 0.007 | |
| VAE2021.03 | 3.6 | 0.113 | 0.006 | |
| DeCNN2021.03 | 3.5 | 0.111 | 0.006 | |
| JULE2021.03 | 3.3 | 0.102 | 0.006 | |
| NMF2021.03 | 2.9 | 0.072 | 0.005 | |
| AC2021.03 | 2.7 | 0.069 | 0.005 | |
| k-means2021.03 | 2.5 | 0.065 | 0.005 | |
| SC2021.03 | 2.2 | 0.063 | 0.004 |