WebJul 6, 2024 · As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual scene understanding. Recent advances on monocular 3D object detection mainly rely on the ``pseudo-LiDAR'' generation, which performs monocular … WebJun 12, 2024 · Our work is a first step towards a new class of 3D object detectors that exploit sparsity throughout their entire pipeline in order to reduce runtime and resource usage while maintaining good detection performance. ... From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection As an emerging data modal with precise ...
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D ...
Webtitle={From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection}, author={Deng, Jiajun and Zhou, Wengang and Zhang, Yanyong and Li, Houqiang}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, year={2024}, publisher={IEEE} } WebHallucinated Hollow-3D R-CNN. This is the official implementation of From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection, built on … sol heated yoga
Hallucinated Hollow-3D R-CNN - Github
WebJul 30, 2024 · From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection. As an emerging data modal with precise distance sensing, LiDAR point clouds … WebJul 28, 2024 · To this end, in this work, we regard point clouds as hollow-3D data and propose a new architecture, namely Hallucinated Hollow-3D R-CNN (H 2 3D R-CNN), to address the problem of 3D object detection. In our approach, we first extract the multi-view features by sequentially projecting the point clouds into the perspective view and the bird … WebDec 16, 2024 · [Show full abstract] a new architecture, namely Hallucinated Hollow-3D R-CNN ($\text{H}^2$3D R-CNN), to address the problem of 3D object detection. In our approach, we first extract the multi-view ... smafathers.org