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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Tianheng Cheng, Xinggang Wang, Lichao Huang |
| 2020 |
| arxiv 2007.08921 |
| Solving Missing-Annotation Object Detection with Background Recalibration Loss | Han Zhang, Fangyi Chen, Zhiqiang Shen | 2020 | arxiv 2002.05274 |
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| Person-in-Context Synthesiswith Compositional Structural Space | Weidong Yin, Ziwei Liu, Leonid Sigal | 2020 | arxiv 2008.12679 |
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| Oriented Objects as pairs of Middle Lines | Haoran Wei, Yue Zhang, Zhonghan Chang | 2019 | arxiv 1912.10694 |
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| Unifying Training and Inference for Panoptic Segmentation | Qizhu Li, Xiaojuan Qi, Philip H.S. Torr | 2020 | arxiv 2001.04982 |
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| End-to-End Object Detection with Transformers | Nicolas Carion, Francisco Massa, Gabriel Synnaeve | 2020 | arxiv 2005.12872 |
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| B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning | Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo | 2020 | arxiv 2004.02435 |
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| Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters | Xudong Wang, Stella X. Yu | 2020 | arxiv 2009.12021 |
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| Learning to Represent Image and Text with Denotation Graph | Bowen Zhang, Hexiang Hu, Vihan Jain | 2020 | arxiv 2010.02949 |
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| GradAug: A New Regularization Method for Deep Neural Networks | Taojiannan Yang, Sijie Zhu, Chen Chen | 2020 | arxiv 2006.07989 |
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