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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Fisher Yu, Vladlen Koltun, Thomas Funkhouser |
| 2017 |
| arxiv 1705.09914 |
| Adversarial Defense by Suppressing High-frequency Components | Zhendong Zhang, Cheolkon Jung, Xiaolong Liang | 2019 | arxiv 1908.06566 |
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| Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment Analysis | Joshua Ball | 2020 | arxiv 2012.03170 |
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| Exploring Explainability in Video Action Recognition | Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy | 2024 | arxiv 2404.09067 |
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| KPL: Training-Free Medical Knowledge Mining of Vision-Language Models | Jiaxiang Liu, Tianxiang Hu, Jiawei Du | 2025 | arxiv 2501.11231 |
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| Forced Spatial Attention for Driver Foot Activity Classification | Akshay Rangesh, Mohan M. Trivedi | 2019 | arxiv 1907.11824 |
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| Facing the Void: Overcoming Missing Data in Multi-View Imagery | Gabriel Machado, Keiller Nogueira, Matheus Barros Pereira | 2022 | arxiv 2205.10592 |
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| Shape-Based Single Object Classification Using Ensemble Method Classifiers | Nur Shazwani Kamarudin, Mokhairi Makhtar, Syadiah Nor Wan Shamsuddin | 2025 | arxiv 2501.09311 |
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| Hardware Resilience Properties of Text-Guided Image Classifiers | Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud | 2023 | arxiv 2311.14062 |
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| Decision boundaries and convex hulls in the feature space that deep learning functions learn from images | Roozbeh Yousefzadeh | 2022 | arxiv 2202.04052 |
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