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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Amirreza Mahbod, Rupert Ecker, Ramona Woitek |
| 2025 |
| arxiv 2505.16338 |
| FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification | Xu Wang, Tian Ye, Rajgopal Kannan | 2024 | arxiv 2404.03225 |
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| LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification | Judy X Yang, Jun Zhou, Jing Wang | 2024 | arxiv 2404.03883 |
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| Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification | Siqi Yin, Lifan Jiang | 2024 | arxiv 2405.02155 |
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| Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization | Firas Khader, Omar S. M. El Nahhas, Tianyu Han | 2024 | arxiv 2406.01314 |
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| How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification | Ali Jamali, Swalpa Kumar Roy, Danfeng Hong | 2024 | arxiv 2406.15719 |
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| Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification | Xizhe Xue, Haokui Zhang, Bei Fang | 2021 | arxiv 2110.11084 |
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| Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation | Lei Zhou, Huidong Liu, Joseph Bae | 2022 | arxiv 2203.05573 |
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| Rotational augmentation techniques: a new perspective on ensemble learning for image classification | Unai Muñoz-Aseguinolaza, Basilio Sierra, Naiara Aginako | 2023 | arxiv 2306.07027 |
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| What do neural networks learn in image classification? A frequency shortcut perspective | Shunxin Wang, Raymond Veldhuis, Christoph Brune | 2023 | arxiv 2307.09829 |
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| Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification | Ruijie Zhang, Qiaozhe Zhang, Yingzhuang Liu | 2023 | arxiv 2306.05029 |
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