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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification |
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| Pengkun Wang, Weijia Cao, Ning Wang |
| 2026 |
| arxiv 2607.15128 |
| BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating | Gaurav Sharma, Eungjoo Lee | 2026 | arxiv 2607.15639 |
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| CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification | Thuc Huynh, Tuan Le, Doanh C. Bui | 2026 | arxiv 2607.12556 |
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| Image classification via a quantum-inspired strategy involving a mixture of experts | Kumari Jyoti, Rohith Babu, Apoorva D. Patel | 2026 | arxiv 2607.07754 |
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| Comparing concepts of quantum and classical neural network models for image classification task | Rafal Potempa, Sebastian Porebski | 2021 | arxiv 2108.08875 |
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| Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks | Guandong Li, Chunju Zhang | 2022 | arxiv 2202.06458 |
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| EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation | Weiming Hu, Chen Li, Xiaoyan Li | 2022 | arxiv 2202.08552 |
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| An Empirical Study on the Efficacy of Deep Active Learning for Image Classification | Yu Li, Muxi Chen, Yannan Liu | 2022 | arxiv 2212.03088 |
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| A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification | Paul F. Jaeger, Carsten T. Lüth, Lukas Klein | 2022 | arxiv 2211.15259 |
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| Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers | Firas Khader, Jakob Nikolas Kather, Tianyu Han | 2023 | arxiv 2305.06963 |
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| Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification | Yanis Bahroun, Andrea Soltoggio | 2017 | arxiv 1702.06456 |
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