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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Deep Joint Source-Channel Coding for Multi-Task Network | Mengyang Wang, Zhicong Zhang, Jiahui Li | 2021 | arxiv 2109.05779 |
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| Robust Object Detection with Multi-input Multi-output Faster R-CNN | Sebastian Cygert, Andrzej Czyzewski | 2021 | arxiv 2111.13065 |
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| iBOT: Image BERT Pre-Training with Online Tokenizer | Jinghao Zhou, Chen Wei, Huiyu Wang | 2021 | arxiv 2111.07832 |
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| Using Orientation to Distinguish Overlapping Chromosomes | Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey | 2022 | arxiv 2203.13004 |
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| Learning Where to Learn in Cross-View Self-Supervised Learning | Lang Huang, Shan You, Mingkai Zheng | 2022 | arxiv 2203.14898 |
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| An Image Patch is a Wave: Phase-Aware Vision MLP | Yehui Tang, Kai Han, Jianyuan Guo | 2021 | arxiv 2111.12294 |
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| A Unified Query-based Paradigm for Point Cloud Understanding | Zetong Yang, Li Jiang, Yanan Sun | 2022 | arxiv 2203.01252 |
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| Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds | Aldi Piroli, Vinzenz Dallabetta, Marc Walessa | 2022 | arxiv 2207.04908 |
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| Model-Based Imitation Learning for Urban Driving | Anthony Hu, Gianluca Corrado, Nicolas Griffiths | 2022 | arxiv 2210.07729 |
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| Few-shot Medical Image Segmentation with Cycle-resemblance Attention | Hao Ding, Changchang Sun, Hao Tang | 2022 | arxiv 2212.03967 |
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