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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2407.06128 |
| Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification | Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang | 2024 | arxiv 2405.12003 |
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| SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification | Heng Fang, Sheng Huang, Wenhao Tang | 2024 | arxiv 2407.17689 |
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| Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification | Bryan Wong, Sungrae Hong, Mun Yong Yi | 2024 | arxiv 2408.01167 |
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| PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification | Sharon Peled, Yosef E. Maruvka, Moti Freiman | 2025 | arxiv 2503.16284 |
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| Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification | Efstathios Karypidis, Stylianos G. Mouslech, Kassiani Skoulariki | 2022 | arxiv 2204.05983 |
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| Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype | Anyong Qin, Chaoqi Yuan, Qiang Li | 2025 | arxiv 2504.19074 |
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| Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers | David Azatyan | 2023 | arxiv 2305.16492 |
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| Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification | Hongyi Wang, Luyang Luo, Fang Wang | 2023 | arxiv 2303.15749 |
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| WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification | Felipe Moreno-Vera, Edgar Medina, Jorge Poco | 2023 | arxiv 2308.14995 |
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| Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification | Micha\l Koziarski | 2020 | arxiv 2004.03332 |
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| Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers | Jun-En Ding, Chi-Hsiang Chu, Mong-Na Lo Huang | 2021 | arxiv 2104.02066 |
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