Clustering on ImageNet-Dogs (test) benchmark leaderboard · SOTA2 Research

Clustering on ImageNet-Dogs (test)

0.862NMILAIC framework

Evaluation Results

Method	Links
LAIC framework2026.03		0.862	88	0.826
TAC2026.03		0.809	83.3	0.72
MCA2026.03		0.733	74.9	0.616
SIC2026.03		0.69	69.7	0.558
LFSS2026.03		0.619	69.3	0.531
TCC2021.06		0.554	59.5	0.417
IDFD2021.06		0.546	59.1	0.413
CC2023.03		0.445	42.9	0.274
CC2021.06		0.445	42.9	0.274
MiCE2021.06		0.423	43.9	0.286
CoHiClust2023.03		0.411	35.5	0.232
PICA2023.03		0.352	35.2	0.201
MoCo baseline2021.06		0.347	33.8	0.197
PICA2021.06		0.336	32.4	0.179
DCCM2023.03		0.321	38.3	0.182
DCCM2021.06		0.321	38.3	0.182
GATCluster2021.06		0.281	32.2	0.163
MMDC2021.06		0.274	11.9	—
DAC2023.03		0.219	27.5	0.111
DAC2021.06		0.219	27.5	0.111
DEC2023.03		0.122	19.5	0.079
DEC2021.06		0.122	19.5	0.079
DCGAN2023.03		0.121	17.4	0.078
DCGAN2021.06		0.121	17.4	0.078
VAE2023.03		0.107	17.9	0.079
VAE2021.06		0.107	17.9	0.079
AE2023.03		0.104	18.5	0.073
DAE2023.03		0.104	19	0.078
AE2021.06		0.104	18.5	0.073
DAE2021.06		0.104	19	0.078
DeCNN2023.03		0.098	17.5	0.073
DeCNN2021.06		0.098	17.5	0.073
K-means2023.03		0.055	10.5	0.02
JULE2023.03		0.054	13.8	0.028
JULE2021.06		0.054	13.8	0.028
NMF2023.03		0.044	11.8	0.016
NMF2021.06		0.044	11.8	0.016
SC2023.03		0.038	11.1	0.013
AC2023.03		0.037	13.9	0.021
AC2021.06		0.037	13.9	0.021