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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2019 |
| arxiv 1911.08916 |
| Visualizing Color-wise Saliency of Black-Box Image Classification Models | Yuhki Hatakeyama, Hiroki Sakuma, Yoshinori Konishi | 2020 | arxiv 2010.02468 |
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| Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification | Chi-Sheng Chen | 2025 | arxiv 2506.06633 |
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| Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification | Benteng Ma, Yong Xia | 2018 | arxiv 1807.00284 |
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| Localized Conformal Prediction for Image Classification with Vision-Language Models | Clément Fuchs, Tim Bary, Benoît Macq | 2026 | arxiv 2606.31577 |
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| Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification | Akshatha Mohan, Joshua Peeples | 2023 | arxiv 2306.04037 |
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| Graph Convolutional Networks for Hyperspectral Image Classification | Danfeng Hong, Lianru Gao, Jing Yao | 2020 | arxiv 2008.02457 |
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| Local Color Contrastive Descriptor for Image Classification | Sheng Guo, Weilin Huang, Yu Qiao | 2015 | arxiv 1508.00307 |
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| Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classification | Schrasing Tong, Antoine Salaun, Vincent Yuan | 2026 | arxiv 2603.05899 |
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| Investigating Bias in Image Classification using Model Explanations | Schrasing Tong, Lalana Kagal (1) __INSTITUTION_2__ Massachusetts Institute of Technology) | 2020 | arxiv 2012.05463 |
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| X-ray Scattering Image Classification Using Deep Learning | Boyu Wang, Kevin Yager, Dantong Yu | 2016 | arxiv 1611.03313 |
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