Image Classification on Red Mini-ImageNet (0.6 Noise Rate CNWL Test)
53.21AccuracyInstanceGM-SS
Evaluation results
| Method | Links | |
|---|---|---|
| InstanceGM-SSself-supervised learning=true2022.09 | 53.21 | |
| PropMixself-supervised learning=true2022.09 | 52.84 | |
| InstanceGMself-supervised learning=false2022.09 | 47.96 | |
| FaMUSself-supervised learning=false2022.09 | 45.1 | |
| MentorMixself-supervised learning=false2022.09 | 43.8 | |
| DivideMixself-supervised learning=false2022.09 | 43.14 | |
| MixUpself-supervised learning=false2022.09 | 40.58 | |
| CEself-supervised learning=false2022.09 | 37.3 |