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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Hybrid Spiking Vision Transformer for Object Detection with Event Cameras | Qi Xu, Jie Deng, Jiangrong Shen | 2025 | arxiv 2505.07715 |
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| Fusion-Mamba for Cross-modality Object Detection | Wenhao Dong, Haodong Zhu, Shaohui Lin | 2024 | arxiv 2404.09146 |
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| OCM3D: Object-Centric Monocular 3D Object Detection | Liang Peng, Fei Liu, Senbo Yan | 2021 | arxiv 2104.06041 |
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| Rethinking Training from Scratch for Object Detection | Yang Li, Hong Zhang, Yu Zhang | 2021 | arxiv 2106.03112 |
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| Conditional Polarization Guidance for Camouflaged Object Detection | QIfan Zhang, Hao Wang, Xiangrong Qin | 2026 | arxiv 2603.30008 |
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| A Mask-RCNN Baseline for Probabilistic Object Detection | Phil Ammirato, Alexander C. Berg | 2019 | arxiv 1908.03621 |
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| End-to-End Object Detection with Adaptive Clustering Transformer | Minghang Zheng, Peng Gao, Renrui Zhang | 2020 | arxiv 2011.09315 |
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| Modeling Missing Annotations for Incremental Learning in Object Detection | Fabio Cermelli, Antonino Geraci, Dario Fontanel | 2022 | arxiv 2204.08766 |
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| Min-Entropy Latent Model for Weakly Supervised Object Detection | Fang Wan, Pengxu Wei, Zhenjun Han | 2019 | arxiv 1902.06057 |
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| Spatial Transformer Network YOLO Model for Agricultural Object Detection | Yash Zambre, Ekdev Rajkitkul, Akshatha Mohan | 2024 | arxiv 2407.21652 |
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