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SotA/Medical/Document Text Classification/Red MiniImageNet 80% label noise

Document Text Classification on Red MiniImageNet 80% label noise

Metric: Test Accuracy (higher is better)

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#Model↕Test Accuracy▼Extra DataPaperDate↕Code
1NCR (ResNet-18)51.2NoLearning with Neighbor Consistency for Noisy Lab...2022-02-04Code
2InstanceGM-SS44.03NoInstance-Dependent Noisy Label Learning via Grap...2022-09-02Code
3CLIPCleaner43.82NoCLIPCleaner: Cleaning Noisy Labels with CLIP2024-08-19Code
4InstanceGM39.62NoInstance-Dependent Noisy Label Learning via Grap...2022-09-02Code