PV-RCNN++: semantical point-voxel feature interaction for 3D object detection-Reference-Cited by-同舟云学术

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PV-RCNN++: semantical point-voxel feature interaction for 3D object detection

Published:2022-09-29 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Wu Peng,Gu Lipeng,Yan Xuefeng,Xie Haoran,Wang Fu Lee,Cheng Gary,Wei Mingqiang

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-022-02672-2.pdf

Reference63 articles.

1. Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137–1149 (2016)

2. Zheng, C., Shi, D., Yan, X., Liang, D., Wei, M., Yang, X., Guo, Y., Xie, H.: Glassnet: label decoupling-based three-stream neural network for robust image glass detection. Comput. Graph. Forum 41(1), 377–388 (2022)

3. Wei, Z., Liang, D., Zhang, D., Zhang, L., Geng, Q., Wei, M., Zhou, H.: Learning calibrated-guidance for object detection in aerial images. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 15, 2721–2733 (2022)

4. Luo, C., Yang, X., Yuille, A.: Exploring simple 3d multi-object tracking for autonomous driving. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 10488–10497 (2021)

5. Ji, C., Liu, G., Zhao, D.: Stereo 3d object detection via instance depth prior guidance and adaptive spatial feature aggregation. Vis. Comput. 1–12 (2022)

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