Image Classification on Red MiniImageNet 60% label noise

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	InstanceGM-SS	53.21	No	Instance-Dependent Noisy Label Learning via Grap...	2022-09-02	Code
2	PropMix	52.84	No	PropMix: Hard Sample Filtering and Proportional ...	2021-10-22	Code
3	InstanceGM	47.96	No	Instance-Dependent Noisy Label Learning via Grap...	2022-09-02	Code
4	FaMUS	45.1	No	Faster Meta Update Strategy for Noise-Robust Dee...	2021-04-30	Code

#1InstanceGM-SSSOTA
53.21
Accuracy· 2022-09-02
Instance-Dependent Noisy Label Learning via Graphical Modelling Code
#2PropMixSOTA
52.84
Accuracy· 2021-10-22
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels Code
#3InstanceGM
47.96
Accuracy· 2022-09-02
Instance-Dependent Noisy Label Learning via Graphical Modelling Code
#4FaMUSSOTA
45.1
Accuracy· 2021-04-30
Faster Meta Update Strategy for Noise-Robust Deep Learning Code