LSLPCT: An Enhanced Local Semantic Learning Transformer for 3-D Point Cloud Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3202823
Abstract: The 3-D point cloud is a common 3-D data representation that has received increasing attention for remote sensing applications. However, processing 3-D point cloud semantics, especially local semantic information, has always been a challenge and… read more here.
Keywords: point cloud; enhanced local; semantic learning; local semantic ... See more keywords
Local Semantic Siamese Networks for Fast Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2959256
Abstract: Learning a powerful feature representation is critical for constructing a robust Siamese tracker. However, most existing Siamese trackers learn the global appearance features of the entire object, which usually suffers from drift problems caused by… read more here.
Keywords: fast tracking; tracker; local semantic; semantic siamese ... See more keywords