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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification |
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| Liang Qu, Cunze Wang, Yuhui Shi |
| 2024 |
| arxiv 2404.15585 |
| PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field | Haixia Bi, Jing Yao, Zhiqiang Wei | 2020 | arxiv 2009.05942 |
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| A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification | Yixin Li, Xinran Wu, Chen Li | 2021 | arxiv 2102.10499 |
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| Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification | Haowen Wang, Guowei Zhang, Xiang Zhang | 2025 | arxiv 2508.09550 |
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| PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning | Bowen Tian, Songning Lai, Lujundong Li | 2024 | arxiv 2409.03192 |
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| MSA-DCNN: A Data-Efficient Multi-Scale Attention Deformable CNN for Medical Image Classification | Hamza Hussaini, Shahana Bano, Eyad Elyan | 2026 | arxiv 2607.06083 |
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| Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation | Farjana Yesmin | 2025 | arxiv 2510.16072 |
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| An empirical study on the effects of different types of noise in image classification tasks | Gabriel B. Paranhos da Costa, Welinton A. Contato, Tiago S. Nazare | 2016 | arxiv 1609.02781 |
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| On the ability of CNNs to extract color invariant intensity based features for image classification | Pradyumna Elavarthi, James Lee, Anca Ralescu | 2023 | arxiv 2307.06500 |
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| FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification | Prajit Sengupta, Islem Rekik | 2025 | arxiv 2509.10510 |
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| Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification | Vanika Singhal, Hemant K. Aggarwal, Snigdha Tariyal | 2019 | arxiv 1912.10803 |
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