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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Xia Yue, Anfeng Liu, Ning Chen |
| 2025 |
| arxiv 2509.08436 |
| Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification | Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass | 2020 | arxiv 2009.13037 |
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| Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition | Andreea Bianca Popescu, Cosmin Ioan Nita, Ioana Antonia Taca | 2023 | arxiv 2308.16530 |
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| Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets | Yuan-Hong Liao, Amlan Kar, Sanja Fidler | 2021 | arxiv 2104.12690 |
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| Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification | Anurag Goel, Angshul Majumdar | 2021 | arxiv 2111.13920 |
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| SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification | Sam Maksoud, Kun Zhao, Peter Hobson | 2020 | arxiv 2003.05080 |
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| Behavior and performance of the deep belief networks on image classification | Karol Gregor, Gregory Griffin | 2009 | arxiv 0912.0717 |
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| Image Classification Using SVMs: One-against-One Vs One-against-All | Gidudu Anthony, Hulley Gregg, Marwala Tshilidzi | 2007 | arxiv 0711.2914 |
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| How Transferable Are Self-supervised Features in Medical Image Classification Tasks? | Tuan Truong, Sadegh Mohammadi, Matthias Lenga | 2021 | arxiv 2108.10048 |
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| DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification | Neetu Sigger, Tuan Thanh Nguyen, Gianluca Tozzi | 2023 | arxiv 2312.12441 |
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| TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification | Kaipeng Zheng, Weiran Huang, Lichao Sun | 2023 | arxiv 2312.07125 |
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