AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking
- 1 August 2021
- journal article
- research article
- Published by Elsevier BV in Neurocomputing
- Vol. 449, 48-60
- https://doi.org/10.1016/j.neucom.2021.03.118
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- Beijing Natural Science Foundation
This publication has 69 references indexed in Scilit:
- Fully-Convolutional Siamese Networks for Object TrackingLecture Notes in Computer Science, 2016
- A Benchmark and Simulator for UAV TrackingPublished by Springer Science and Business Media LLC ,2016
- Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingPublished by Springer Science and Business Media LLC ,2016
- Generalized Pooling for Robust Object TrackingIEEE Transactions on Image Processing, 2016
- A Novel Performance Evaluation Methodology for Single-Target TrackersIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
- Hierarchical Convolutional Features for Visual TrackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Convolutional Features for Correlation Filter Based Visual TrackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Encoding Color Information for Visual Tracking: Algorithms and BenchmarkIEEE Transactions on Image Processing, 2015
- High-Speed Tracking with Kernelized Correlation FiltersIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
- Visual Tracking: An Experimental SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence, 2013