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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Federated Learning for Medical Image Classification: A Comprehensive Benchmark | Zhekai Zhou, Guibo Luo, Mingzhi Chen | 2025 | arxiv 2504.05238 |
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| Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification | Mohammad Shiri, Monalika Padma Reddy, Jiangwen Sun | 2024 | arxiv 2404.11052 |
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| Multimodal CLIP Inference for Meta-Few-Shot Image Classification | Constance Ferragu, Philomene Chagniot, Vincent Coyette | 2024 | arxiv 2405.10954 |
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| DiagSet: a dataset for prostate cancer histopathological image classification | Micha\l Koziarski, Bogus\law Cyganek, Przemys\law Niedziela | 2021 | arxiv 2105.04014 |
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| PIAT: Parameter Interpolation based Adversarial Training for Image Classification | Kun He, Xin Liu, Yichen Yang | 2023 | arxiv 2303.13955 |
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| Multi-domain learning CNN model for microscopy image classification | Duc Hoa Tran, Michel Meunier, Farida Cheriet | 2023 | arxiv 2304.10616 |
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| Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification | Haixing Dai, Lu Zhang, Lin Zhao | 2023 | arxiv 2307.04343 |
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| Multi-Scale U-Shape MLP for Hyperspectral Image Classification | Moule Lin, Weipeng Jing, Donglin Di | 2023 | arxiv 2307.10186 |
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| Unlocking Accuracy and Fairness in Differentially Private Image Classification | Leonard Berrada, Soham De, Judy Hanwen Shen | 2023 | arxiv 2308.10888 |
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| FACMIC: Federated Adaptative CLIP Model for Medical Image Classification | Yihang Wu, Christian Desrosiers, Ahmad Chaddad | 2024 | arxiv 2410.14707 |
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