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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yuqing Zhang, Qi Han, Ligeng Wang |
| 2025 |
| arxiv 2503.15731 |
| Reconstruction Guided Few-shot Network For Remote Sensing Image Classification | Mohit Jaiswal, Naman Jain, Shivani Pathak | 2026 | arxiv 2601.07335 |
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| Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification | Youngkee Kim, Soyi Jung, Minseok Choi | 2022 | arxiv 2206.02098 |
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| Few-shot crack image classification using clip based on bayesian optimization | Yingchao Zhang, Cheng Liu | 2025 | arxiv 2503.00376 |
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| Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification | Bin Wang, Yanan Sun, Bing Xue | 2018 | arxiv 1803.06492 |
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| Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines | Aritra Chowdhury, Malik Magdin-Ismail, Bulent Yener | 2019 | arxiv 1903.02521 |
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| What does a platypus look like? Generating customized prompts for zero-shot image classification | Sarah Pratt, Ian Covert, Rosanne Liu | 2022 | arxiv 2209.03320 |
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| Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets | Yanbing Liu, Wei Li, Kun Cheng | 2022 | arxiv 2210.08004 |
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| Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification | Cangxiong Chen, Neill D.F. Campbell | 2021 | arxiv 2111.10178 |
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| EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification | Souhail Bakkali, Ziheng Ming, Mickael Coustaty | 2023 | arxiv 2305.06923 |
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| Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification | Yiqing Guo, Xiuping Jia, David Paull | 2017 | arxiv 1706.04719 |
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