Semi-supervised Image Classification on ImageNet (10% labeled)
79Top-1 AccuracyPAWS
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PAWSArchitecture=ResNet-50 (4x), Epochs=2002021.04 | 79 | — | |
| PAWSArchitecture=ResNet-50 (4x), Epochs=1002021.04 | 78.5 | — | |
| PAWSArchitecture=ResNet-50 (2x), Epochs=2002021.04 | 77.8 | — | |
| PAWSArchitecture=ResNet-50 (2x), Epochs=1002021.04 | 77 | — | |
| BYOLArchitecture=ResNet-50 (4x), Epochs=10002021.04 | 75.7 | — | |
| SimCLRArchitecture=ResNet-50 (4x), Epochs=10002021.04 | 74.4 | — | |
| SimCLRv2Architecture=ResNet-50 (2x), Epochs=8002021.04 | 73.9 | — | |
| BYOLArchitecture=ResNet-50 (2x), Epochs=10002021.04 | 73.5 | — | |
| FNCBackbone=ResNet-50, Learning Type=Representation Learning / Contrastive2020.11 | 71.1 | 90.2 | |
| SwAVBackbone=ResNet-502020.11 | 70.2 | 89.9 | |
| SwAVEpochs=800, Backbone=ResNet-502024.10 | 70.2 | 89.9 | |
| BTEpochs=1000, Backbone=ResNet-502024.10 | 69.7 | 89.3 | |
| BYOLBackbone=ResNet-502020.11 | 68.8 | 89 | |
| BYOLEpochs=1000, Backbone=ResNet-502024.10 | 68.8 | 89 | |
| SimCLR v2Backbone=ResNet-50, Learning Type=Representation Learning / Contrastive2020.11 | 68.4 | 89.2 | |
| SynCoEpochs=800, Backbone=ResNet-502024.10 | 66.6 | 88 | |
| MoCo-v2 (repr.)Epochs=800, Backbone=ResNet-502024.10 | 66.1 | 87.6 | |
| MOCHI (repr.)Epochs=800, Backbone=ResNet-502024.10 | 65.7 | 87.2 | |
| SimCLR v1Backbone=ResNet-50, Learning Type=Representation Learning / Contrastive2020.11 | 65.6 | 87.8 | |
| DATA (7G~8G)Params=45.2M, Fine-tuning epochs=202022.03 | 65.6 | 86.9 | |
| SimCLREpochs=1000, Backbone=ResNet-502024.10 | 65.6 | 87.8 | |
| DATA (6G~7G)Params=45.4M, Fine-tuning epochs=202022.03 | 65.4 | 87 | |
| DATA (5G~6G)Params=43.4M, Fine-tuning epochs=202022.03 | 65.1 | 86.7 | |
| DATA (4G~5G)Params=37.0M, Fine-tuning epochs=202022.03 | 64.3 | 86.4 | |
| DATA (3G~4G)Params=33.5M, Fine-tuning epochs=202022.03 | 63.4 | 85.7 | |
| DATA (2G~3G)Params=19.5M, Fine-tuning epochs=202022.03 | 63 | 85.8 | |
| DATA (1G~2G)Params=14.7M, Fine-tuning epochs=202022.03 | 61.9 | 84.9 | |
| ResNet-50Params=25.5M, Pre-training=MoCo v2, Fine-tuning epochs=202022.03 | 61.8 | 85.1 | |
| PIRLEpochs=800, Backbone=ResNet-502024.10 | 60.4 | 83.8 | |
| PIRLBackbone=ResNet-50, Learning Type=Representation Learning / Contrastive2020.11 | 57.2 | 83.8 | |
| SupervisedBackbone=ResNet-502024.10 | 56.4 | 80.4 | |
| SupervisedBackbone=ResNet-502020.11 | 48.4 | 80.4 | |
| FixMatchBackbone=ResNet-50, Learning Type=Semi-supervised2020.11 | — | 89.1 | |
| PCLBackbone=ResNet-50, Learning Type=Representation Learning / Contrastive2020.11 | — | 86.2 | |
| UDABackbone=ResNet-50, Learning Type=Semi-supervised2020.11 | — | 88.5 |