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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Jin Yuan, Shikai Chen, Yao Zhang |
| 2022 |
| arxiv 2203.04049 |
| Automatic Discovery and Optimization of Parts for Image Classification | Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman | 2014 | arxiv 1412.6598 |
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| Object-Level Representation Learning for Few-Shot Image Classification | Liangqu Long, Wei Wang, Jun Wen | 2018 | arxiv 1805.10777 |
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| Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights | Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi | 2024 | arxiv 2408.13816 |
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| Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification | Hansang Lee, Haeil Lee, Helen Hong | 2022 | arxiv 2212.00214 |
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| Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification | Ivica Dimitrovski, Ivan Kitanovski, Dragi Kocev | 2022 | arxiv 2207.07189 |
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| SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label Transition | Jun Zhuang, Mohammad Al Hasan, Yiyu Shi | 2026 | arxiv 2607.16293 |
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| BraidNet: procedural generation of neural networks for image classification problems using braid theory | Olga Lukyanova, Oleg Nikitin, Alex Kunin | 2021 | arxiv 2104.10010 |
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| SpectralMamba: Efficient Mamba for Hyperspectral Image Classification | Jing Yao, Danfeng Hong, Chenyu Li | 2024 | arxiv 2404.08489 |
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| Decoupled Data Augmentation for Improving Image Classification | Ruoxin Chen, Zhe Wang, Ke-Yue Zhang | 2024 | arxiv 2411.02592 |
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| Combating Noisy Labels in Long-Tailed Image Classification | Chaowei Fang, Lechao Cheng, Huiyan Qi | 2022 | arxiv 2209.00273 |
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