Point Clouds. Conference Paper. Free Performance Boost for Voting-based 3D Object Detection in Point Clouds. December 2023. DOI:10.1109/ROBIO58561.2023.10354741.
Recently, detecting objects from 3D point clouds based on the voting mechanism has received increasing attention. Various improvements such as RGB feature ...
Mar 21, 2024 · We argue that generative models can improve the quality of votes and the performance of point-based 3D detectors. Voting, as the essence in ...
An object detection method from 3D point clouds based on seed filtering · Free Performance Boost for Voting-based 3D Object Detection in Point Clouds · Refined ...
Mar 21, 2024 · We argue that generative models can improve the quality of votes and the performance of point-based 3D detectors. Voting, as the essence in ...
3D object detection in point clouds is a challenging vi- sion task that benefits various applications for understand- ing the 3D visual world.
Missing: Boost | Show results with:Boost
PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection [ det ; PyTorch] ... Back-tracing Representative Points for Voting-based 3D Object ...
... This method achieved very good 3D object detection performance using only point clouds. After that, a number of models have been built based on a similar ...
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We present a novel and high-performance 3D object detection framework, named PointVoxel-RCNN (PV-RCNN), for accurate 3D object detection from point clouds.
This paper proposes a novel VoteNet-based 3D detector with vote enhancement to improve the detection accuracy in cluttered indoor scenes, and designs a vote ...