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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Hinako Asaoka, Kazue Kudo |
| 2023 |
| arxiv 2311.01028 |
| Lean classical-quantum hybrid neural network model for image classification | Ao Liu, Cuihong Wen, Jieci Wang | 2024 | arxiv 2412.02059 |
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| TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification | Conghao Xiong, Yi Lin, Hao Chen | 2023 | arxiv 2303.05780 |
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| Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification | Han Liu, Bogdan Georgescu, Yanbo Zhang | 2025 | arxiv 2512.12887 |
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| Why Does It Look There? Structured Explanations for Image Classification | Jiarui Li, Zixiang Yin, Samuel J Landry | 2026 | arxiv 2603.10234 |
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| The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale | Alina Kuznetsova, Hassan Rom, Neil Alldrin | 2018 | arxiv 1811.00982 |
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| DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification | Guandong Li | 2023 | arxiv 2307.06667 |
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| Relation Network for Multi-label Aerial Image Classification | Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu | 2019 | arxiv 1907.07274 |
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| Non-binary deep transfer learning for image classification | Jo Plested, Xuyang Shen, Tom Gedeon | 2021 | arxiv 2107.08585 |
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| Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise | Bidur Khanal, Tianhong Dai, Binod Bhattarai | 2024 | arxiv 2407.05973 |
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| Langevin algorithms for very deep Neural Networks with application to image classification | Pierre Bras | 2022 | arxiv 2212.14718 |
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