Grouping on Imagenet Dogs benchmark leaderboard · SOTA2 Research

Grouping on Imagenet Dogs

74.5ACCProPos

Evaluation Results

Method
ProPos2021.11	74.5	69.2	62.7
BYOL2021.11	69.4	63.5	54.8
K principal concept identification2021.04	69.1	73.4	59.2
SimSiam2021.11	67.4	58.3	50.1
TCL2022.10	64.4	62.3	51.6
TCL2021.11	64.4	62.3	51.6
TCLICH2022.10	63.9	62.4	50.3
ZS-Naive2021.04	60.9	65.1	47.8
TCC2021.11	59.5	55.4	41.7
IDFD2021.11	59.1	54.6	41.3
SPICE2022.10	54.6	49.8	36.2
DivClust C2023.04	52.9	51.6	37.6
GCC2021.11	52.6	49	36.2
PT+SCAN2021.04	49.3	54.4	36.9
DivClust C2023.04	48.7	48	33.2
DivClust C2023.04	45.1	45.9	29.8
DivClust C2023.04	45.1	46.1	29.7
DivClust C2023.04	44.8	45.8	29.6
CC-Kmeans2023.04	44.4	45.7	28.4
CC-Kmeans/S2023.04	44.4	45.6	28.3
CC-Kmeans/F2023.04	44.4	45.8	28.5
MiCE2021.11	43.9	42.3	28.6
CC2022.10	42.9	44.5	27.4
CC2021.11	42.9	44.5	27.4
CC2023.04	42.9	44.5	27.4
DeepCluE2023.04	41.6	44.8	27.3
PCL2022.10	41.2	44	29.9
PCL2021.11	41.2	44	29.9
DCCM2022.10	38.3	32.1	18.2
DCCM2021.11	38.3	32.1	18.2
DCCM2023.04	38.3	32.1	18.2
PT Only2021.04	36.5	38	20.3
PICA2022.10	35.2	35.2	20.1
PICA2023.04	35.2	35.2	20.1
MoCo2021.11	33.8	34.7	19.7
PICA2021.11	32.4	33.6	17.9
DAC2022.10	27.5	21.9	11.1
DAC2023.04	27.5	21.9	11.1
DEC2022.10	19.5	12.2	7.9
DEC2023.04	19.5	12.2	7.9
DAE2022.10	19	10.4	7.8
DAE2023.04	19	10.4	7.8
AE2022.10	18.5	10.4	7.3
AE2023.04	18.5	10.4	7.3
VAE2022.10	17.9	10.7	7.9
VAE2023.04	17.9	10.7	7.9
DeCNN2022.10	17.5	9.8	7.3
DeCNN2023.04	17.5	9.8	7.3
DCGAN2022.10	17.4	12.1	7.8
DCGAN2023.04	17.4	12.1	7.8
AC2022.10	13.9	3.7	2.1
AC2023.04	13.9	3.7	2.1
JULE2022.10	13.8	5.4	2.8
JULE2023.04	13.8	5.4	2.8
NMF2022.10	11.8	4.4	1.6
NMF2023.04	11.8	4.4	1.6
SC2022.10	11.1	3.8	1.3
k-means2022.10	10.5	5.5	2
K-means2023.04	10.5	55	2