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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Bidisha Chakraborty, Shree Mitra |
| 2024 |
| arxiv 2411.02637 |
| In-Context Learning for Label-Efficient Cancer Image Classification in Oncology | Mobina Shrestha, Bishwas Mandal, Vishal Mandal | 2025 | arxiv 2505.08798 |
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| Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification | Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma | 2023 | arxiv 2310.08255 |
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| Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction | Hao Li, Ying Chen, Yifei Chen | 2024 | arxiv 2402.19326 |
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| Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification | Bar\iş Büyüktaş, Kenneth Weitzel, Sebastian Völkers | 2024 | arxiv 2405.15405 |
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| LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification | Renyi Qu, Mark Yatskar | 2024 | arxiv 2405.18672 |
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| Harnessing The Power of Attention For Patch-Based Biomedical Image Classification | Gousia Habib, Shaima Qureshi, Malik ishfaq | 2024 | arxiv 2404.00949 |
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| Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification | Sajid Javed, Arif Mahmood, Talha Qaiser | 2023 | arxiv 2305.02032 |
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| Exploring Data Redundancy in Real-world Image Classification through Data Selection | Zhenyu Tang, Shaoting Zhang, Xiaosong Wang | 2023 | arxiv 2306.14113 |
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| The Role of Subgroup Separability in Group-Fair Medical Image Classification | Charles Jones, Mélanie Roschewitz, Ben Glocker | 2023 | arxiv 2307.02791 |
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| FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification | Nannan Wu, Li Yu, Xin Yang | 2022 | arxiv 2206.13803 |
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