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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Datasets for Face and Object Detection in Fisheye Images | Jianglin Fu, Ivan V. Bajic, Rodney G. Vaughan | 2019 | arxiv 1906.11942 |
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| Custom Object Detection via Multi-Camera Self-Supervised Learning | Yan Lu, Yuanchao Shu | 2021 | arxiv 2102.03442 |
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| Active Control of Camera Parameters for Object Detection Algorithms | Yulong Wu, John Tsotsos | 2017 | arxiv 1705.05685 |
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| Scribble-Supervised RGB-T Salient Object Detection | Zhengyi Liu, Xiaoshen Huang, Guanghui Zhang | 2023 | arxiv 2303.09733 |
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| Scale-Aware Trident Networks for Object Detection | Yanghao Li, Yuntao Chen, Naiyan Wang | 2019 | arxiv 1901.01892 |
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| Object Detection for Vehicle Dashcams using Transformers | Osama Mustafa, Khizer Ali, Anam Bibi | 2024 | arxiv 2408.15809 |
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| Response-based Distillation for Incremental Object Detection | Tao Feng, Mang Wang | 2021 | arxiv 2110.13471 |
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| Unbiased Teacher for Semi-Supervised Object Detection | Yen-Cheng Liu, Chih-Yao Ma, Zijian He | 2021 | arxiv 2102.09480 |
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| Open-Vocabulary Object Detection via Language Hierarchy | Jiaxing Huang, Jingyi Zhang, Kai Jiang | 2024 | arxiv 2410.20371 |
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| Geometry-Aware 3D Salient Object Detection Network | Chen Wang, Liyuan Zhang, Le Hui | 2025 | arxiv 2502.16488 |
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