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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification | Eslam Eldeeb, Mohammad Shehab, Hirley Alves | 2024 | arxiv 2409.12978 |
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| The Hilbert transform of horizontal gaze position during natural image classification by saccades | Roberts Paeglis, Ivars Lacis, Anda Podniece | 2006 | arxiv q-bio/0610010 |
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| Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification | Josef Mayr, Anna Reithmeir, Maxime Di Folco | 2025 | arxiv 2511.04190 |
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| C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification | Hosein Barzekar, Zeyun Yu | 2020 | arxiv 2011.00081 |
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| Large Margin Multi-modal Multi-task Feature Extraction for Image Classification | Yong Luo, Yonggang Wen, Dacheng Tao | 2019 | arxiv 1904.04088 |
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| Mixture separability loss in a deep convolutional network for image classification | Trung Dung Do, Cheng-Bin Jin, Hakil Kim | 2019 | arxiv 1906.06633 |
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| Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network | Yongxiang Huang, Albert Chi-shing Chung | 2018 | arxiv 1807.10552 |
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| Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning | Abhijeet Patil, Dipesh Tamboli, Swati Meena | 2020 | arxiv 2003.00823 |
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| Visual Transformers with Primal Object Queries for Multi-Label Image Classification | Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu | 2021 | arxiv 2112.05485 |
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| No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning | Matheus Vinícius Todescato, Joel Luís Carbonera | 2025 | arxiv 2509.18938 |
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| Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification | Yunhe Gao, Difei Gu, Mu Zhou | 2024 | arxiv 2406.05596 |
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