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SotA/Computer Vision/Image Classification/CIFAR-10N-Random1

Image Classification on CIFAR-10N-Random1

Metric: Accuracy (mean) (higher is better)

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#Model↕Accuracy (mean)▼Extra DataPaperDate↕Code
1ProMix96.97NoProMix: Combating Label Noise via Maximizing Cle...2022-07-21Code
2PSSCL96.17No--Code
3PGDF96.01NoSample Prior Guided Robust Model Learning to Sup...2021-12-02Code
4SOP+95.28NoRobust Training under Label Noise by Over-parame...2022-02-28Code
5ILL94.85NoImprecise Label Learning: A Unified Framework fo...2023-05-22Code
6CORES*94.45NoLearning with Instance-Dependent Label Noise: A ...2020-10-05Code
7ELR+94.43NoEarly-Learning Regularization Prevents Memorizat...2020-06-30Code
8GNL91.97NoPartial Label Supervision for Agnostic Generativ...2023-08-02Code
9ELR91.46NoEarly-Learning Regularization Prevents Memorizat...2020-06-30Code
10CAL90.93NoClusterability as an Alternative to Anchor Point...2021-02-10Code
11Co-Teaching90.33NoCo-teaching: Robust Training of Deep Neural Netw...2018-04-18Code
12JoCoR90.3NoCombating noisy labels by agreement: A joint tra...2020-03-05Code
13Negative-LS90.29NoTo Smooth or Not? When Label Smoothing Meets Noi...2021-06-08Code
14Divide-Mix90.18NoDivideMix: Learning with Noisy Labels as Semi-su...2020-02-18Code
15Positive-LS89.8NoDoes label smoothing mitigate label noise?2020-03-05-
16Co-Teaching+89.7NoHow does Disagreement Help Generalization agains...2019-01-14Code
17F-div89.7NoWhen Optimizing $f$-divergence is Robust with La...2020-11-07Code
18CORES89.66NoLearning with Instance-Dependent Label Noise: A ...2020-10-05Code
19Peer Loss89.06NoPeer Loss Functions: Learning from Noisy Labels ...2019-10-08Code
20T-Revision88.33NoAre Anchor Points Really Indispensable in Label-...2019-06-01Code
21VolMinNet88.3NoProvably End-to-end Label-Noise Learning without...2021-02-04Code
22GCE87.61NoGeneralized Cross Entropy Loss for Training Deep...2018-05-20Code
23Backward-T87.14NoMaking Deep Neural Networks Robust to Label Nois...2016-09-13Code
24Forward-T86.88NoMaking Deep Neural Networks Robust to Label Nois...2016-09-13Code