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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Ansh Makwe, Akansh Agrawal, Prateek Jain |
| 2025 |
| arxiv 2511.12382 |
| Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels | Benjamin J. Meyer, Ben Harwood, Tom Drummond | 2017 | arxiv 1705.09780 |
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| A Preliminary Study on Data Augmentation of Deep Learning for Image Classification | Benlin Hu, Cheng Lei, Dong Wang | 2019 | arxiv 1906.11887 |
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| Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models | Michael Jungo, Andreas Fischer | 2025 | arxiv 2509.22283 |
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| Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification | Mikhael Djajapermana, Moritz Reiber, Daniel Mueller-Gritschneder | 2025 | arxiv 2511.02992 |
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| Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification | G.Kalaiarasi, S.Maheswari | 2020 | arxiv 2006.12556 |
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| Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification | Sheng Wan, Chen Gong, Shirui Pan | 2020 | arxiv 2009.09196 |
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| Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision | Linhao Qu, Shiman Li, Xiaoyuan Luo | 2025 | arxiv 2504.12132 |
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| 2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach | Yilu Guo, Shicai Yang, Weijie Chen | 2022 | arxiv 2206.06168 |
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| Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling | Viktoria Heimann, Andreas Spruck, André Kaup | 2022 | arxiv 2210.15444 |
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| Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification | Di Wang, Bo Du, Liangpei Zhang | 2021 | arxiv 2106.13952 |
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