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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2111.12460 |
| Object Contour Detection with a Fully Convolutional Encoder-Decoder Network | Jimei Yang, Brian Price, Scott Cohen | 2016 | arxiv 1603.04530 |
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| Towards Adversarially Robust Object Detection | Haichao Zhang, Jianyu Wang | 2019 | arxiv 1907.10310 |
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| Multi Instance Learning For Unbalanced Data | Mark Kozdoba, Edward Moroshko, Lior Shani | 2018 | arxiv 1812.07010 |
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| Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows | Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu | 2020 | arxiv 2003.10350 |
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| Can weight sharing outperform random architecture search? An investigation with TuNAS | Gabriel Bender, Hanxiao Liu, Bo Chen | 2020 | arxiv 2008.06120 |
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| Image Captioning with Object Detection and Localization | Zhongliang Yang, Yu-Jin Zhang, Sadaqat ur Rehman | 2017 | arxiv 1706.02430 |
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| Zero-Shot Referring Expression Comprehension via Vison-Language True/False Verification | Jeffrey Liu, Rongbin Hu | 2025 | arxiv 2509.09958 |
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| Feedback RoI Features Improve Aerial Object Detection | Botao Ren, Botian Xu, Tengyu Liu | 2023 | arxiv 2311.17129 |
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| MelNet: A Real-Time Deep Learning Algorithm for Object Detection | Yashar Azadvatan, Murat Kurt | 2024 | arxiv 2401.17972 |
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| Plain-Det: A Plain Multi-Dataset Object Detector | Cheng Shi, Yuchen Zhu, Sibei Yang | 2024 | arxiv 2407.10083 |
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