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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Ning Wang, Yang Gao, Hao Chen |
| 2019 |
| arxiv 1906.04423 |
| A Flying Bird Object Detection Method for Surveillance Video | Ziwei Sun, Zexi Hua, Hengchao Li | 2024 | arxiv 2401.03749 |
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| PAN: Pillars-Attention-Based Network for 3D Object Detection | Ruan Bispo, Dane Mitrev, Letizia Mariotti | 2025 | arxiv 2509.15935 |
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| Scene Adaptive Sparse Transformer for Event-based Object Detection | Yansong Peng, Hebei Li, Yueyi Zhang | 2024 | arxiv 2404.01882 |
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| Deep Directly-Trained Spiking Neural Networks for Object Detection | Qiaoyi Su, Yuhong Chou, Yifan Hu | 2023 | arxiv 2307.11411 |
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| ESOD: Efficient Small Object Detection on High-Resolution Images | Kai Liu, Zhihang Fu, Sheng Jin | 2024 | arxiv 2407.16424 |
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| Revisiting Monocular 3D Object Detection with Depth Thickness Field | Qiude Zhang, Chunyu Lin, Zhijie Shen | 2024 | arxiv 2412.19165 |
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| Few-Cost Salient Object Detection with Adversarial-Paced Learning | Dingwen Zhang, Haibin Tian, Jungong Han | 2021 | arxiv 2104.01928 |
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| Open World DETR: Transformer based Open World Object Detection | Na Dong, Yongqiang Zhang, Mingli Ding | 2022 | arxiv 2212.02969 |
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| SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection | Yun Zhu, Le Hui, Yaqi Shen | 2023 | arxiv 2312.13641 |
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