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SotA/Medical/Document Text Classification/ANIMAL

Document Text Classification on ANIMAL

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1Jigsaw-ViT89NoJigsaw-ViT: Learning Jigsaw Puzzles in Vision Tr...2022-07-25Code
2SURE89NoSURE: SUrvey REcipes for building reliable and r...2024-03-01Code
3CLIPCleaner88.85NoCLIPCleaner: Cleaning Noisy Labels with CLIP2024-08-19Code
4PSSCL88.74No--Code
5SSR88.5NoSSR: An Efficient and Robust Framework for Learn...2021-11-22Code
6BtR88.5NoBootstrapping the Relationship Between Images an...2022-10-17Code
7SPR86.8NoScalable Penalized Regression for Noise Detectio...2022-03-15Code
8Dynamic Loss86.5NoDynamic Loss For Robust Learning2022-11-22Code
9GNL85.9NoPartial Label Supervision for Agnostic Generativ...2023-08-02Code
10C2MT85.9No--Code
11InstanceGM with ConvNeXt84.7NoInstance-Dependent Noisy Label Learning via Grap...2022-09-02Code
12InstanceGM84.6NoInstance-Dependent Noisy Label Learning via Grap...2022-09-02Code
13Nested+Co-teaching (NCT)84.1NoCompressing Features for Learning with Noisy Lab...2022-06-27Code
14PLC83.4NoLearning with Feature-Dependent Label Noise: A P...2021-03-13Code
15InstanceGM with ResNet82.3NoInstance-Dependent Noisy Label Learning via Grap...2022-09-02Code
16SELFIE81.8No--Code
17CE + Dropout81.3NoBoosting Co-teaching with Compression Regulariza...2021-04-28Code
18Nested Dropout81.3NoBoosting Co-teaching with Compression Regulariza...2021-04-28Code
19Cross Entropy79.4NoLearning with Feature-Dependent Label Noise: A P...2021-03-13Code