Image Clustering on CIFAR-10 (full) benchmark leaderboard · SOTA2 Research

Image Clustering on CIFAR-10 (full)

0.926AccuracySPICE

Evaluation Results

Method	Links
SPICE2021.03		0.926	0.865	0.852
SPICEs2021.03		0.838	0.734	0.705
IDFD2021.03		0.815	0.711	0.663
CC2021.03		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
IIC2021.03		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