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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2024 |
| arxiv 2401.00728 |
| Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia | Edward Verenich, Alvaro Velasquez, Nazar Khan | 2020 | arxiv 2008.02866 |
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| Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance | Yuliia Kaidashova, Bettina Finzel, Ute Schmid | 2025 | arxiv 2506.23975 |
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| MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification | Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber | 2021 | arxiv 2108.10709 |
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| A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification | Aria Khoshsirat | 2020 | arxiv 2011.08712 |
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| A Collaborative Framework for Quantum Optimisation and Quantum Neural Networks: Credit Feature Selection and Image Classification | JiaNing Long, Xuechen Liang | 2025 | arxiv 2509.11110 |
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| A Lightweight Medical Image Classification Framework via Self-Supervised Contrastive Learning and Quantum-Enhanced Feature Modeling | Jingsong Xia, Siqi Wang | 2026 | arxiv 2601.16608 |
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| Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification | Borja Aizpurua, Sukhbinder Singh, Román Orús | 2025 | arxiv 2509.06653 |
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| Adaptive receptive field-based spatial-frequency feature reconstruction network for fine-grained few-shot image classification | Linyue Zhang, Wenyi Zeng, Zicheng Pan | 2026 | arxiv 2604.16936 |
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| Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification | Xuerong Zhang, Li Huang, Jing Lv | 2024 | arxiv 2407.03596 |
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| A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data | Aryan Vats, Manan Suri | 2023 | arxiv 2310.09994 |
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| MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification | Dequan Wang, Xiaosong Wang, Lilong Wang | 2023 | arxiv 2306.09579 |
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