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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Channel Boosting Feature Ensemble for Radar-based Object Detection |
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| Shoaib Azam, Farzeen Munir, Moongu Jeon |
| 2021 |
| arxiv 2101.03531 |
| Investigating Attention Mechanism in 3D Point Cloud Object Detection | Shi Qiu, Yunfan Wu, Saeed Anwar | 2021 | arxiv 2108.00620 |
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| PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection | Hao Liu, Zhuoran Xu, Dan Wang | 2022 | arxiv 2211.08055 |
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| PolarFormer: Multi-camera 3D Object Detection with Polar Transformer | Yanqin Jiang, Li Zhang, Zhenwei Miao | 2022 | arxiv 2206.15398 |
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| A Comparative Review of Recent Few-Shot Object Detection Algorithms | Leng Jiaxu, Chen Taiyue, Gao Xinbo | 2021 | arxiv 2111.00201 |
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| Continual Object Detection: A review of definitions, strategies, and challenges | Angelo G. Menezes, Gustavo de Moura, Cézanne Alves | 2022 | arxiv 2205.15445 |
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| Enhancing object detection robustness: A synthetic and natural perturbation approach | Nilantha Premakumara, Brian Jalaian, Niranjan Suri | 2023 | arxiv 2304.10622 |
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| STONE: A Submodular Optimization Framework for Active 3D Object Detection | Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K Iyer | 2024 | arxiv 2410.03918 |
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| SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection | Yun Zhao, Zhan Gong, Peiru Zheng | 2024 | arxiv 2411.05292 |
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| DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection | Wanli Ouyang, Xiaogang Wang, Xingyu Zeng | 2014 | arxiv 1412.5661 |
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