Methods › Computer Vision › Convolutions › Feature-Centric Voting
Feature-Centric Voting
Introduced by Dominic Zeng Wang and Ingmar Posner in Voting for Voting in Online Point Cloud Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Optimized CNNs for Rapid 3D Point Cloud Object Recognition 3 Dec 2024 · 0 repositories · arXiv:2412.02855
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Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video 11 May 2021 · 1 repository
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Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks 21 Sep 2016 · 0 repositories · arXiv:1609.06666
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Voting for Voting in Online Point Cloud Object Detection 13 Jul 2015 · 0 repositories
Tasks archive 2025-07-28
11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections