[7] Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, and Rongrong Ji. Cf-vit: A general coarse-to-fine method for vision transformer. In AAAI, 2023. 3
[8] Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, and Rongrong Ji. Smmix: Self-motivated image mixing for vision transformers. In ICCV, 2023. 3
[9] Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, and Ping Luo. Diffrate: Differentiable compression rate for efficient vision transformers. arXiv preprint arXiv:2305.17997, 2023. 3
[10] Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao. Futr3d: A unified sensor fusion framework for 3d detection. arXiv preprint arXiv:2203.10642, 2022. 7
[11] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, and Feng Zhao. Bevdistill: Cross-modal bev distillation for multi-view 3d object detection. arXiv preprint arXiv:2211.09386, 2022. 2, 3, 7, 8
[12] Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, and Wanli Ouyang. MonoDistill: Learning spatial features for monocular 3d object detection. arXiv preprint arXiv:2201.10830, 2022. 3
[13] MMDetection3D Contributors. MMDetection3D: OpenMMLab next-generation platform for general 3D object detection. https://github.com/open-mmlab/mmdetection3d, 2020.14
[14] Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009. 3
[15] Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, and Lin Ma. Aedet: Azimuth-invariant multi-view 3d object detection. arXiv preprint arXiv:2211.12501, 2022. 3, 7
[16] Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, and Hongyang Li. Sparse dense fusion for 3d object detection. In IROS, 2023. 3
[17] Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li. LIGA-Stereo: Learning lidar geometry aware representations for stereo-based 3d detector. In ICCV, 2021. 3
[18] Chunrui Han, Jianjian Sun, Zheng Ge, Jinrong Yang, Runpei Dong, Hongyu Zhou, Weixin Mao, Huang Peng, and Xiangyu Zhang. Exploring recurrent long-term temporal fusion for multi-view 3d perception. arXiv preprint arXiv:2303.05970, 2023. 1, 3
[19] Chunrui Han, Jianjian Sun, Zheng Ge, Jinrong Yang, Runpei Dong, Hongyu Zhou, Weixin Mao, Huang Peng, and Xiangyu Zhang. Exploring recurrent long-term temporal fusion for multi-view 3d perception. arXiv preprint arXiv:2303.05970, 2023. 6
[20] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In CVPR, 2016. 14
[21] Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, et al. Planning-oriented autonomous driving. In CVPR, 2023. 1
[22] Junjie Huang and Guan Huang. BEVDet4D: Exploit temporal cues in multi-camera 3d object detection. arXiv preprint arXiv:2203.17054, 2022. 3, 6, 7
[23] Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du. BEVDet: High-performance multicamera 3d object detection in bird-eye-view. arXiv preprint arXiv:2112.11790, 2021. 6
[24] Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Rongrong Ji, Junchi Yan, and Hongyang Li. Geometric-aware pretraining for vision-centric 3d object detection. arXiv preprint arXiv:2304.03105, 2023. 3
[25] Peixiang Huang, Li Liu, Renrui Zhang, Song Zhang, Xinli Xu, Baichao Wang, and Guoyi Liu. Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning. arXiv preprint arXiv:2212.13979, 2022. 2, 3
[26] Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, and Hongyang Li. Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving. In ICCV, 2023. 3
[27] Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, and Hongyang Li. Think twice before driving: Towards scalable decoders for end-to-end autonomous driving. In CVPR, 2023. 3