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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification | Mohammed Q. Alkhatib, Swalpa Kumar Roy, Ali Jamali | 2026 | arxiv 2606.01700 |
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| Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification | Yuan Xue, Jiarong Ye, Qianying Zhou | 2021 | arxiv 2111.06399 |
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| Multi-label Iterated Learning for Image Classification with Label Ambiguity | Sai Rajeswar, Pau Rodriguez, Soumye Singhal | 2021 | arxiv 2111.12172 |
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| New Pruning Method Based on DenseNet Network for Image Classification | Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang | 2021 | arxiv 2108.12604 |
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| Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification | Lichao Mou, Sudipan Saha, Yuansheng Hua | 2021 | arxiv 2103.08741 |
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| Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification | Junjie Wang, Feng Gao, Junyu Dong | 2022 | arxiv 2201.08938 |
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| A 3-stage Spectral-spatial Method for Hyperspectral Image Classification | Raymond H. Chan, Ruoning Li | 2022 | arxiv 2204.09294 |
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| Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models | Utkarsh Singhal, Stella X. Yu, Zackery Steck | 2022 | arxiv 2211.11797 |
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| Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification | Wentao Lei, Lei Liu, Li Liu | 2023 | arxiv 2303.01707 |
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| MedViT: A Robust Vision Transformer for Generalized Medical Image Classification | Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani | 2023 | arxiv 2302.09462 |
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