Fully-Convolutional Siamese Networks for Object Tracking
Top Cited Papers
- 3 November 2016
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
Other Versions
This publication has 32 references indexed in Scilit:
- Hierarchical Convolutional Features for Visual TrackingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Visual Tracking with Fully Convolutional NetworksPublished 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
- Learning to compare image patches via convolutional neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Deep Face RecognitionPublished by British Machine Vision Association and Society for Pattern Recognition ,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
- Tracking-Learning-DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
- Struck: Structured output tracking with kernelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011