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BADet: Boundary-Aware 3D Object Detection from Point Clouds
[article]
2022
arXiv
pre-print
Currently, existing state-of-the-art 3D object detectors are in two-stage paradigm. These methods typically comprise two steps: 1) Utilize a region proposal network to propose a handful of high-quality proposals in a bottom-up fashion. 2) Resize and pool the semantic features from the proposed regions to summarize RoI-wise representations for further refinement. Note that these RoI-wise representations in step 2) are considered individually as uncorrelated entries when fed to following
arXiv:2104.10330v5
fatcat:62h4geokwnfvfjnbig4akrjzti