Stereo VoVNet-CNN for 3D object detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11506-7.pdf
Reference36 articles.
1. Brazil G, Liu X (2019) M3d-rpn: Monocular 3d region proposal network for object detection. In: Proceedings of the IEEE international conference on computer vision, pp 9287–9296
2. Chen X, Kundu K, Zhang Z, Ma H, Fidler S, Urtasun R (2016) Monocular 3d object detection for autonomous driving. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2147–2156
3. Chen X, Kundu K, Zhu Y, Ma H, Fidler S, Urtasun R (2017) 3d object proposals using stereo imagery for accurate object class detection. IEEE Trans Pattern Anal Mach Intell 40(5):1259–1272
4. Chen X, Ma H, Wan J, Li B, Xia T (2017) Multi-view 3d object detection network for autonomous driving. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1907–1915
5. Chen Y, Liu S, Shen X, Jia J (2019) Fast point r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp 9775–9784
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