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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Weiqiang Li, Guizhong Liu |
| 2019 |
| arxiv 1902.02923 |
| Equalization Loss for Large Vocabulary Instance Segmentation | Jingru Tan, Changbao Wang, Quanquan Li | 2019 | arxiv 1911.04692 |
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| SAIS: Single-stage Anchor-free Instance Segmentation | Canqun Xiang, Shishun Tian, Wenbin Zou | 2019 | arxiv 1912.01176 |
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| Look and Modify: Modification Networks for Image Captioning | Fawaz Sammani, Mahmoud Elsayed | 2019 | arxiv 1909.03169 |
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| Learning Compact Reward for Image Captioning | Nannan Li, Zhenzhong Chen | 2020 | arxiv 2003.10925 |
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| Feature-Driven Super-Resolution for Object Detection | Bin Wang, Tao Lu, Yanduo Zhang | 2020 | arxiv 2004.00554 |
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| Foreground-Background Imbalance Problem in Deep Object Detectors: A Review | Joya Chen, Qi Wu, Dong Liu | 2020 | arxiv 2006.09238 |
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| Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems | Vera Steinhoff, Pascal Kerschke, Christian Grimme | 2020 | arxiv 2006.14423 |
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| Funnel Activation for Visual Recognition | Ningning Ma, Xiangyu Zhang, Jian Sun | 2020 | arxiv 2007.11824 |
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| Deep Isometric Learning for Visual Recognition | Haozhi Qi, Chong You, Xiaolong Wang | 2020 | arxiv 2006.16992 |
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