Image Classification On Food 101N 1
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||
|---|---|---|---|
| LRA-diffusion (CLIP ViT) | 93.42 | Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels | |
| CleanNet | 90.39 | CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise | |
| SURE(ResNet-50) | 88.0 | SURE: SUrvey REcipes for building reliable and robust deep networks | |
| LongReMix | 87.39% | LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment |
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