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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing | Alan J.X. Guo, Fei Zhu | 2020 | arxiv 2004.00583 |
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| Ultrasound Image Classification using ACGAN with Small Training Dataset | Sudipan Saha, Nasrullah Sheikh | 2021 | arxiv 2102.01539 |
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| TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification | Hao Chen, Xiaohua Li, Jiliu Zhou | 2021 | arxiv 2103.10084 |
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| SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification | Tanmay Chakraborty, Utkarsh Trehan | 2021 | arxiv 2104.00341 |
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| Multiscale Principle of Relevant Information for Hyperspectral Image Classification | Yantao Wei, Shujian Yu, Luis Sanchez Giraldo | 2019 | arxiv 1907.06022 |
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| Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification | Mingyang Zhang, Ziqi Di, Maoguo Gong | 2022 | arxiv 2211.07316 |
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| Multi-Scale Prototypical Transformer for Whole Slide Image Classification | Saisai Ding, Jun Wang, Juncheng Li | 2023 | arxiv 2307.02308 |
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| Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification | Harshala Gammulle, Yubo Chen, Sridha Sridharan | 2023 | arxiv 2308.08731 |
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| Interpreting and Correcting Medical Image Classification with PIP-Net | Meike Nauta, Johannes H. Hegeman, Jeroen Geerdink | 2023 | arxiv 2307.10404 |
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| Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification | Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi | 2014 | arxiv 1401.3818 |
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