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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Julian McAuley, Jure Leskovec |
| 2012 |
| arxiv 1207.3809 |
| Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models | Yiwen Jiang, Deval Mehta, Wei Feng | 2025 | arxiv 2506.01334 |
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| SDTN and TRN: Adaptive Spectral-Spatial Feature Extraction for Hyperspectral Image Classification | Fuyin Ye, Erwen Yao, Jianyong Chen | 2025 | arxiv 2507.09492 |
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| The Role of Noisy Data in Improving CNN Robustness for Image Classification | Oscar H. Ramírez-Agudelo, Nicoleta Gorea, Aliza Reif | 2026 | arxiv 2601.08043 |
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| MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification | Mohammed Q. Alkhatib, Ali Jamali | 2026 | arxiv 2604.26138 |
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| SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch | 2021 | arxiv 2105.02726 |
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| Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification | ZongYuan Ge, Chris McCool, Conrad Sanderson | 2015 | arxiv 1502.07802 |
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| Vision Pair Learning: An Efficient Training Framework for Image Classification | Bei Tong, Xiaoyuan Yu | 2021 | arxiv 2112.00965 |
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| Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation | Jiazhi Xu, Sheng Huang, Fengtao Zhou | 2022 | arxiv 2205.10986 |
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| Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning | Alessandro Bianchi, Moreno Raimondo Vendra, Pavlos Protopapas | 2019 | arxiv 1904.03949 |
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| Class-relevant Patch Embedding Selection for Few-Shot Image Classification | Weihao Jiang, Haoyang Cui, Kun He | 2024 | arxiv 2405.03722 |
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