Explicitly exploiting hierarchical features in visual object tracking
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.038
Abstract: Abstract A common drawback of convolutional features based trackers is the incapability of distinguishing tracking targets from distractors, even in the presence of distinct color difference. In this paper, we design a robust hybrid tracker… read more here.
Keywords: visual object; hierarchical features; features visual; object tracking ... See more keywords
CLRNet: A Residual Network Based on ConvLSTM for Progressive Pansharpening
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3412685
Abstract: In this letter, we design a progressive pansharpening network termed CLRNet, which cascades two deep residual subnets (DRNets) with the same structure and then employs these two subnets to perform progressive fusion at two scales,… read more here.
Keywords: progressive pansharpening; feature maps; hierarchical features; clrnet ... See more keywords
HAPOR: Hierarchical-Features Aligned Projection Optimization for Relocalization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3226069
Abstract: Locating the 6DoF pose of a camera in a known scene graph is a fundamental problem of SLAM. Hierarchical relocalization methods, which retrieve images first and match feature points later, have been widely studied by… read more here.
Keywords: hierarchical features; relocalization; features aligned; hapor hierarchical ... See more keywords