Deep Learning of Appearance Models for Online Object Tracking

9 July 2016

Papers citing "Deep Learning of Appearance Models for Online Object Tracking"

7 / 7 papers shown

Title
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation Odrika Iqbal Victor Isaac Torres Muro Sameeksha Katoch A. Spanias Suren Jayasuriya 63 12 0 17 Dec 2021
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers Tharindu Fernando Simon Denman Sridha Sridharan Clinton Fookes 83 0 0 10 Nov 2020
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking S. M. Marvasti-Zadeh Hossein Ghanei-Yakhdan S. Kasaei 43 5 0 29 Aug 2020
Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications M. J. Gómez-Silva VOT 66 2 0 07 Apr 2020
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking Andrii Maksai Pascal Fua VOT 120 17 0 27 Nov 2018
End-to-end representation learning for Correlation Filter based tracking Jack Valmadre Luca Bertinetto João F. Henriques Andrea Vedaldi Philip Torr 114 1,400 0 20 Apr 2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies Amir Sadeghian Alexandre Alahi Silvio Savarese VOT 97 530 0 08 Jan 2017