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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification | Chenghua Zeng, Huijuan Lu, Kanghao Chen | 2022 | arxiv 2207.06975 |
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| Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model | Zhicai Wang, Longhui Wei, Tan Wang | 2024 | arxiv 2403.19600 |
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| Unsupervised Image Classification with Adaptive Nearest Neighbor Selection and Cluster Ensembles | Melih Baydar, Emre Akbas | 2025 | arxiv 2511.16213 |
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| Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification | Bidur Khanal, Prashant Shrestha, Sanskar Amgain | 2024 | arxiv 2402.16734 |
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| Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification | Kunal Pattanayak, Vikram Krishnamurthy | 2021 | arxiv 2102.04594 |
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| A Multi-Modal Multilingual Benchmark for Document Image Classification | Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran | 2023 | arxiv 2310.16356 |
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| Bombus Species Image Classification | Venkat Margapuri, George Lavezzi, Robert Stewart | 2020 | arxiv 2006.11374 |
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| Language-biased image classification: evaluation based on semantic representations | Yoann Lemesle, Masataka Sawayama, Guillermo Valle-Perez | 2022 | arxiv 2201.11014 |
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| DAFD: Domain Adaptation via Feature Disentanglement for Image Classification | Zhize Wu, Changjiang Du, Le Zou | 2023 | arxiv 2301.13337 |
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| Design of Kernels in Convolutional Neural Networks for Image Classification | Zhun Sun, Mete Ozay, Takayuki Okatani | 2015 | arxiv 1511.09231 |
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