Learning With Noisy Labels On Food 101
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
模型名称 | Accuracy (% ) | Paper Title | Repository |
|---|---|---|---|
| PSSCL | 86.41 | PSSCL: A progressive sample selection framework with contrastive loss designed for noisy labels | |
| LongReMix | 86.42 | LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment | |
| SNSCL | 86.40 | Fine-Grained Classification with Noisy Labels | - |
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