Title
Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking.
Abstract
Learning a large-scale regression model has proven to be one of the most successful approaches for visual tracking as in recent correlation filter (CF)- based trackers. Different from the conventional CF-based algorithms in which the regression model is solved based on circulant training samples, we propose learning linear regression models via a single-convolutional layer with the gradient descen...
Year
DOI
Venue
2019
10.1109/TMM.2018.2846405
IEEE Transactions on Multimedia
Keywords
DocType
Volume
Training,Predictive models,Visualization,Computational modeling,Correlation,Feature extraction,Robustness
Journal
21
Issue
ISSN
Citations 
1
1520-9210
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Kai Chen174459.02
Wenbing Tao248828.71