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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Firat Coskun Dalgic, Ahmet Selman Bozkir, Murat Aydos |
| 2019 |
| arxiv 1905.07767 |
| Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset | Misgina Tsighe Hagos, Shri Kant | 2019 | arxiv 1905.07203 |
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| A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks | Yuzhe Ma, Ran Chen, Wei Li | 2018 | arxiv 1807.10119 |
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| Testing DNN Image Classifiers for Confusion & Bias Errors | Yuchi Tian, Ziyuan Zhong, Vicente Ordonez | 2019 | arxiv 1905.07831 |
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| Cost-effective Land Cover Classification for Remote Sensing Images | Dongwei Li, Shuliang Wang, Qiang He | 2021 | arxiv 2107.12016 |
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| Attribute Prototype Network for Any-Shot Learning | Wenjia Xu, Yongqin Xian, Jiuniu Wang | 2022 | arxiv 2204.01208 |
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| Model Agnostic Defence against Backdoor Attacks in Machine Learning | Sakshi Udeshi, Shanshan Peng, Gerald Woo | 2019 | arxiv 1908.02203 |
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| On the Importance of Firth Bias Reduction in Few-Shot Classification | Saba Ghaffari, Ehsan Saleh, David Forsyth | 2021 | arxiv 2110.02529 |
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| SpaNN: Detecting Multiple Adversarial Patches on CNNs by Spanning Saliency Thresholds | Mauricio Byrd Victorica, György Dán, Henrik Sandberg | 2025 | arxiv 2506.18591 |
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| LanePerf: a Performance Estimation Framework for Lane Detection | Yin Wu, Daniel Slieter, Ahmed Abouelazm | 2025 | arxiv 2507.12894 |
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| Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes | Dmitry Demidov, Abduragim Shtanchaev, Mihail Mihaylov | 2024 | arxiv 2406.19814 |
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