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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2017 |
| arxiv 1711.06897 |
| Foundation-Assisted Active Learning for Object Detection Annotation | Jinchang Zhang, Arnold Zumbrun, Jing Lin | 2026 | arxiv 2607.16671 |
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| Interactive Multi-Class Tiny-Object Detection | Chunggi Lee, Seonwook Park, Heon Song | 2022 | arxiv 2203.15266 |
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| SFUOD: Source-Free Unknown Object Detection | Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park | 2025 | arxiv 2507.17373 |
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| CGCOD: Class-Guided Camouflaged Object Detection | Chenxi Zhang, Qing Zhang, Jiayun Wu | 2024 | arxiv 2412.18977 |
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| MAC: ModAlity Calibration for Object Detection | Yutian Lei, Jun Liu, Dong Huang | 2023 | arxiv 2310.09461 |
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| Diffusion Model for Camouflaged Object Detection | Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang | 2023 | arxiv 2308.00303 |
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| A MultiPath Network for Object Detection | Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin | 2016 | arxiv 1604.02135 |
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| Point Linking Network for Object Detection | Xinggang Wang, Kaibing Chen, Zilong Huang | 2017 | arxiv 1706.03646 |
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| Impression Network for Video Object Detection | Congrui Hetang, Hongwei Qin, Shaohui Liu | 2017 | arxiv 1712.05896 |
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