Image Classification on ImageNet (test)
81.32Top-1 AccDeepAA
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepAABackbone=ResNet-200, Input Resolution=224x2242022.03 | 81.32 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Fast AABackbone=ResNet-200, Input Resolution=224x2242022.03 | 80.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 80.6 | — | — | — | — | — | — | 95.2 | — | — | — | — | — | |
| RELICv2Encoder=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 80.6 | — | — | — | — | — | — | 0.952 | — | — | — | — | — | |
| RABackbone=ResNet-200, Input Resolution=244x2442022.03 | 80.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 80.1 | — | — | — | — | — | — | 95.2 | — | — | — | — | — | |
| SupervisedEncoder=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 80.1 | — | — | — | — | — | — | 0.952 | — | — | — | — | — | |
| AABackbone=ResNet-200, Input Resolution=224x2242022.03 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Backbone=ResNet200, Evaluation protocol=linear evaluation2022.01 | 79.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet200, Evaluation protocol=linear evaluation2022.01 | 79.8 | — | — | — | — | — | — | 95 | — | — | — | — | — | |
| RELICv2Backbone=ResNet200, Evaluation Protocol=linear evaluation2022.01 | 79.8 | — | — | — | — | — | — | 0.95 | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 79.6 | — | — | — | — | — | — | 94.8 | — | — | — | — | — | |
| BYOLEncoder=ResNet200 2x, Evaluation protocol=linear evaluation2022.01 | 79.6 | — | — | — | — | — | — | 0.948 | — | — | — | — | — | |
| RELICv2Encoder=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 79.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 79.4 | — | — | — | — | — | — | 94.3 | — | — | — | — | — | |
| RELICv2Encoder=ResNet50 4x, Evaluation Protocol=Linear evaluation2022.01 | 79.4 | — | — | — | — | — | — | — | — | — | — | — | 94.3 | |
| SupervisedBackbone=ResNet200, Evaluation protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Backbone=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | 0.946 | — | — | — | — | — | |
| RELICv2Encoder Architecture=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet152, Evaluation protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | 94.6 | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet200, Evaluation protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | 94.6 | — | — | — | — | — | |
| SupervisedBackbone=ResNet200, Evaluation Protocol=linear evaluation2022.01 | 79.3 | — | — | — | — | — | — | 0.946 | — | — | — | — | — | |
| SupervisedBackbone=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 79.1 | — | — | — | — | — | — | 0.945 | — | — | — | — | — | |
| SupervisedEncoder Architecture=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 79.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet152, Evaluation protocol=linear evaluation2022.01 | 79.1 | — | — | — | — | — | — | 94.5 | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet50 2x, Evaluation protocol=linear evaluation2022.01 | 79 | — | — | — | — | — | — | 94.5 | — | — | — | — | — | |
| RELICv2Backbone=ResNet50 2x, Evaluation Protocol=Linear evaluation2022.01 | 79 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 78.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 78.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder=ResNet50 4x, Evaluation Protocol=Linear evaluation2022.01 | 78.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| C-BYOLEncoder architecture=ResNet50 2x, Evaluation protocol=linear evaluation2022.01 | 78.8 | — | — | — | — | — | — | 94.5 | — | — | — | — | — | |
| C-BYOLBackbone=ResNet50 2x, Evaluation Protocol=Linear evaluation2022.01 | 78.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder=ResNet101, Evaluation protocol=linear evaluation2022.01 | 78.7 | — | — | — | — | — | — | 0.944 | — | — | — | — | — | |
| RELICv2Encoder architecture=ResNet101, Evaluation protocol=linear evaluation2022.01 | 78.7 | — | — | — | — | — | — | 94.4 | — | — | — | — | — | |
| RELICv2Backbone=ResNet101, Evaluation Protocol=Linear evaluation2022.01 | 78.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLEncoder=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 78.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 78.6 | — | — | — | — | — | — | 94.2 | — | — | — | — | — | |
| BYOLEncoder=ResNet50 4x, Evaluation Protocol=Linear evaluation2022.01 | 78.6 | — | — | — | — | — | — | — | — | — | — | — | 94.2 | |
| BaselineBackbone=ResNet-200, Input Resolution=224x2242022.03 | 78.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-152 + Maximum SeparationBackbone=ResNet-152, Maximum Separation=Included2022.06 | 78.5 | — | — | — | — | — | — | 0.951 | — | — | — | — | — | |
| DeepAABackbone=ResNet-50, Input Resolution=224x2242022.03 | 78.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TA(Wide)Backbone=ResNet-50, Input Resolution=244x2442022.03 | 78.07 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder=ResNet101, Evaluation protocol=linear evaluation2022.01 | 78 | — | — | — | — | — | — | 0.94 | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet101, Evaluation protocol=linear evaluation2022.01 | 78 | — | — | — | — | — | — | 94 | — | — | — | — | — | |
| SupervisedBackbone=ResNet101, Evaluation Protocol=Linear evaluation2022.01 | 78 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-152 (Base)Backbone=ResNet-152, Maximum Separation=Excluded2022.06 | 77.9 | — | — | — | — | — | — | 0.943 | — | — | — | — | — | |
| SWAVEncoder=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 77.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SWAVEncoder architecture=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 77.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SWAVEncoder=ResNet50 4x, Evaluation Protocol=Linear evaluation2022.01 | 77.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TA(RA)Backbone=ResNet-50, Input Resolution=244x2442022.03 | 77.85 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TeacherNetwork=ResNet-50 & ResNet-1012022.03 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLBackbone=ResNet200, Evaluation protocol=linear evaluation2022.01 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder architecture=ResNet50 2x, Evaluation protocol=linear evaluation2022.01 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet200, Evaluation protocol=linear evaluation2022.01 | 77.8 | — | — | — | — | — | — | 93.9 | — | — | — | — | — | |
| BYOLBackbone=ResNet200, Evaluation Protocol=linear evaluation2022.01 | 77.8 | — | — | — | — | — | — | 0.939 | — | — | — | — | — | |
| SupervisedBackbone=ResNet50 2x, Evaluation Protocol=Linear evaluation2022.01 | 77.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| UABackbone=ResNet-50, Input Resolution=224x2242022.03 | 77.63 | — | — | — | — | — | — | — | — | — | — | — | — | |
| AABackbone=ResNet-50, Input Resolution=224x2242022.03 | 77.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Fast AABackbone=ResNet-50, Input Resolution=224x2242022.03 | 77.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RABackbone=ResNet-50, Input Resolution=244x2442022.03 | 77.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SimKDNetwork=ResNet-50 & ResNet-1012022.03 | 77.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DADABackbone=ResNet-50, Input Resolution=224x2242022.03 | 77.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet50 2x, Evaluation protocol=linear evaluation2022.01 | 77.4 | — | — | — | — | — | — | 93.6 | — | — | — | — | — | |
| BYOLBackbone=ResNet50 2x, Evaluation Protocol=Linear evaluation2022.01 | 77.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLBackbone=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 77.3 | — | — | — | — | — | — | 0.937 | — | — | — | — | — | |
| BYOLEncoder Architecture=ResNet152, Evaluation Protocol=linear evaluation2022.01 | 77.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SWAVEncoder architecture=ResNet50 2x, Evaluation protocol=linear evaluation2022.01 | 77.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet152, Evaluation protocol=linear evaluation2022.01 | 77.3 | — | — | — | — | — | — | 93.7 | — | — | — | — | — | |
| SWAVBackbone=ResNet50 2x, Evaluation Protocol=Linear evaluation2022.01 | 77.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Encoder=ResNet50, Evaluation Protocol=linear evaluation2022.01 | 77.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RELICv2Backbone=ResNet-50, Evaluation Protocol=Linear evaluation2022.01 | 77.1 | — | — | — | — | — | — | 0.933 | — | — | — | — | — | |
| Faster AABackbone=ResNet-50, Input Resolution=224x2242022.03 | 76.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SupervisedEncoder=ResNet50, Evaluation Protocol=linear evaluation2022.01 | 76.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SimCLREncoder=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 76.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SimCLREncoder architecture=ResNet50 4x, Evaluation protocol=linear evaluation2022.01 | 76.5 | — | — | — | — | — | — | 93.2 | — | — | — | — | — | |
| SupervisedBackbone=ResNet-50, Evaluation Protocol=Linear evaluation2022.01 | 76.5 | — | — | — | — | — | — | 0.937 | — | — | — | — | — | |
| SimCLREncoder=ResNet50 4x, Evaluation Protocol=Linear evaluation2022.01 | 76.5 | — | — | — | — | — | — | — | — | — | — | — | 93.2 | |
| BYOLEncoder=ResNet101, Evaluation protocol=linear evaluation2022.01 | 76.4 | — | — | — | — | — | — | 0.93 | — | — | — | — | — | |
| BYOLEncoder architecture=ResNet101, Evaluation protocol=linear evaluation2022.01 | 76.4 | — | — | — | — | — | — | 93 | — | — | — | — | — | |
| BYOLBackbone=ResNet101, Evaluation Protocol=Linear evaluation2022.01 | 76.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet-50, Input Resolution=224x2242022.03 | 76.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TeacherTraining Epochs=Full Epoch2022.03 | 76.26 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TeacherNetwork=ResNet-34 & ResNet-502022.03 | 76.26 | — | — | — | — | — | — | — | — | — | — | — | — | |
| StudentNetwork=ResNet-50 & ResNet-1012022.03 | 76.26 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DARTS-Params (M)=4.92022.10 | 76.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| A-DARTS-A(w,a)Search Space=DARTS, Search layers=8, Initial channels=162022.10 | 75.9 | — | — | — | — | — | — | — | — | — | — | — | 93 | |
| PC-DARTSParams (M)=5.32022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DrNASParams (M)=5.22022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| B-DARTSParams (M)=5.42022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PC-DARTSSearch Space=DARTS2022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | 92.7 | |
| DrNASSearch Space=DARTS, Search layers=14, Initial channels=482022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | 92.7 | |
| beta-DARTSSearch Space=DARTS2022.10 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | 92.9 | |
| DOTSParams (M)=5.22022.10 | 75.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| A-DARTS - Λ±(ω,α)Params (M)=5.2, Reporting Type=Best2022.10 | 75.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DOTSSearch Space=DARTS2022.10 | 75.7 | — | — | — | — | — | — | — | — | — | — | — | 92.6 | |
| NNCLREncoder=ResNet50, Evaluation Protocol=linear evaluation2022.01 | 75.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| C-BYOLEncoder=ResNet50, Evaluation Protocol=linear evaluation2022.01 | 75.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NNCLRBackbone=ResNet-50, Evaluation Protocol=Linear evaluation2022.01 | 75.6 | — | — | — | — | — | — | 0.924 | — | — | — | — | — | |
| C-BYOLBackbone=ResNet-50, Evaluation Protocol=Linear evaluation2022.01 | 75.6 | — | — | — | — | — | — | 0.927 | — | — | — | — | — | |
| MetaInitBackbone=ResNet-50, BN status=w/o BN2021.02 | 75.4 | — | — | — | — | — | — | — | — | — | — | — | — |