Grouping on Imagenet Dogs
74.5ACCProPos
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ProPosTraining paradigm=improving representation learning2021.11 | 74.5 | 69.2 | 62.7 | |
| BYOLTraining paradigm=learning general representations2021.11 | 69.4 | 63.5 | 54.8 | |
| K principal concept identification2021.04 | 69.1 | 73.4 | 59.2 | |
| SimSiamTraining paradigm=learning general representations2021.11 | 67.4 | 58.3 | 50.1 | |
| TCL2022.10 | 64.4 | 62.3 | 51.6 | |
| TCLTraining paradigm=directly outputting cluster assignments, Image size=224x2242021.11 | 64.4 | 62.3 | 51.6 | |
| TCLICHclustering=k-means on ICH features2022.10 | 63.9 | 62.4 | 50.3 | |
| ZS-NaiveBackbone=CLIP2021.04 | 60.9 | 65.1 | 47.8 | |
| TCCTraining paradigm=directly outputting cluster assignments2021.11 | 59.5 | 55.4 | 41.7 | |
| IDFDTraining paradigm=improving representation learning2021.11 | 59.1 | 54.6 | 41.3 | |
| SPICEextra training data=true2022.10 | 54.6 | 49.8 | 36.2 | |
| DivClust CDiversity Target (DT)=0.72023.04 | 52.9 | 51.6 | 37.6 | |
| GCCTraining paradigm=directly outputting cluster assignments2021.11 | 52.6 | 49 | 36.2 | |
| PT+SCAN2021.04 | 49.3 | 54.4 | 36.9 | |
| DivClust CDiversity Target (DT)=0.92023.04 | 48.7 | 48 | 33.2 | |
| DivClust CDiversity Target (DT)=1.2023.04 | 45.1 | 45.9 | 29.8 | |
| DivClust CDiversity Target (DT)=0.952023.04 | 45.1 | 46.1 | 29.7 | |
| DivClust CDiversity Target (DT)=0.82023.04 | 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 | |
| MiCETraining paradigm=directly outputting cluster assignments2021.11 | 43.9 | 42.3 | 28.6 | |
| CC2022.10 | 42.9 | 44.5 | 27.4 | |
| CCTraining paradigm=directly outputting cluster assignments, Image size=224x2242021.11 | 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 | |
| PCLTraining paradigm=improving representation learning2021.11 | 41.2 | 44 | 29.9 | |
| DCCM2022.10 | 38.3 | 32.1 | 18.2 | |
| DCCMTraining paradigm=without using contrastive learning2021.11 | 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 | |
| MoCoTraining paradigm=learning general representations2021.11 | 33.8 | 34.7 | 19.7 | |
| PICATraining paradigm=without using contrastive learning2021.11 | 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 |