Image Classification on Red MiniImageNet 40% label noise

Metric: Test Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Test Accuracy▼	Extra Data	Paper	Date↕	Code
1	NCR (ResNet-18)	64.6	No	Learning with Neighbor Consistency for Noisy Lab...	2022-02-04	Code
2	CLIPCleaner	58.42	No	CLIPCleaner: Cleaning Noisy Labels with CLIP	2024-08-19	Code
3	InstanceGM-SS	56.37	No	Instance-Dependent Noisy Label Learning via Grap...	2022-09-02	Code
4	InstanceGM	52.24	No	Instance-Dependent Noisy Label Learning via Grap...	2022-09-02	Code

#1NCR (ResNet-18)SOTA
64.6
Test Accuracy· 2022-02-04
Learning with Neighbor Consistency for Noisy Labels Code
#2CLIPCleaner
58.42
Test Accuracy· 2024-08-19
CLIPCleaner: Cleaning Noisy Labels with CLIP Code
#3InstanceGM-SS
56.37
Test Accuracy· 2022-09-02
Instance-Dependent Noisy Label Learning via Graphical Modelling Code
#4InstanceGM
52.24
Test Accuracy· 2022-09-02
Instance-Dependent Noisy Label Learning via Graphical Modelling Code