Image Classification on Tiny-ImageNet Symmetric Noise 0.2 (test)
0.8291Accuracy (Best)DEFT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DEFTFine-tuning Protocol=Ours, Backbone=CLIP2024.09 | 0.8291 | — | 0.8291 | |
| GMMFine-tuning Protocol=FFT, Backbone=CLIP2024.09 | 0.8191 | — | 0.8188 | |
| CEFine-tuning Protocol=FFT, Backbone=CLIP2024.09 | 0.8177 | — | 0.8108 | |
| ELRFine-tuning Protocol=FFT, Backbone=CLIP2024.09 | 0.794 | — | 0.794 | |
| SCEFine-tuning Protocol=FFT, Backbone=CLIP2024.09 | 0.7923 | — | 0.7923 | |
| CORES2*Model=ResNet182020.10 | — | 0.7347 | — | |
| GCEModel=ResNet182020.10 | — | 0.6984 | — | |
| MAEModel=ResNet182020.10 | — | 0.0236 | — | |
| MentorNetModel=ResNet182020.10 | — | 0.5912 | — |