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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2020 |
| arxiv 2007.15241 |
| A Classifier-guided Approach for Top-down Salient Object Detection | Hisham Cholakkal, Jubin Johnson, Deepu Rajan | 2016 | arxiv 1604.06570 |
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| Robustness Of Saak Transform Against Adversarial Attacks | Thiyagarajan Ramanathan, Abinaya Manimaran, Suya You | 2019 | arxiv 1902.02826 |
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| MBInception: A new Multi-Block Inception Model for Enhancing Image Processing Efficiency | Fatemeh Froughirad, Reza Bakhoda Eshtivani, Hamed Khajavi | 2024 | arxiv 2412.13703 |
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| NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning | Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz | 2023 | arxiv 2301.13569 |
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| Self-Supervised Representation Learning on Document Images | Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess | 2020 | arxiv 2004.10605 |
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| Deep convolutional Gaussian processes | Kenneth Blomqvist, Samuel Kaski, Markus Heinonen | 2018 | arxiv 1810.03052 |
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| Distributed Transfer Learning with 4th Gen Intel Xeon Processors | Lakshmi Arunachalam, Fahim Mohammad, Vrushabh H. Sanghavi | 2023 | arxiv 2310.06916 |
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| Image Analysis Based on Nonnegative/Binary Matrix Factorization | Hinako Asaoka, Kazue Kudo | 2020 | arxiv 2007.00889 |
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| CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise | Kuang-Huei Lee, Xiaodong He, Lei Zhang | 2017 | arxiv 1711.07131 |
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| Distilling Visual Priors from Self-Supervised Learning | Bingchen Zhao, Xin Wen | 2020 | arxiv 2008.00261 |
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