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Learning to Track at 100 FPS with Deep Regression Networks
v1v2 (latest)

Learning to Track at 100 FPS with Deep Regression Networks

6 April 2016
David Held
Sebastian Thrun
Silvio Savarese
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Learning to Track at 100 FPS with Deep Regression Networks"

21 / 21 papers shown
Title
Improving Accuracy and Generalization for Efficient Visual Tracking
Improving Accuracy and Generalization for Efficient Visual Tracking
Ram J. Zaveri
Shivang Patel
Yu Gu
Gianfranco Doretto
VLM
129
0
0
28 Nov 2024
CloudTrack: Scalable UAV Tracking with Cloud Semantics
CloudTrack: Scalable UAV Tracking with Cloud Semantics
Yannik Blei
Michael Krawez
Nisarga Nilavadi
Tanja Katharina Kaiser
Wolfram Burgard
69
1
0
24 Sep 2024
Quasi-Dense Similarity Learning for Multiple Object Tracking
Quasi-Dense Similarity Learning for Multiple Object Tracking
Jiangmiao Pang
Linlu Qiu
Xia Li
Haofeng Chen
Qi Li
Trevor Darrell
Feng Yu
VOT
145
372
0
11 Jun 2020
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and
  Reliability
Exploring 3 R's of Long-term Tracking: Re-detection, Recovery and Reliability
Shyamgopal Karthik
A. Moudgil
Vineet Gandhi
55
5
0
27 Oct 2019
Deep Reinforcement Learning for Visual Object Tracking in Videos
Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang
H. Maei
Xin Eric Wang
Yuan-fang Wang
132
116
0
31 Jan 2017
Learning Spatially Regularized Correlation Filters for Visual Tracking
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan
Gustav Häger
Fahad Shahbaz Khan
Michael Felsberg
50
1,873
0
19 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Siamese Instance Search for Tracking
Siamese Instance Search for Tracking
Ran Tao
E. Gavves
A. Smeulders
57
595
0
19 May 2016
Self-taught learning of a deep invariant representation for visual
  tracking via temporal slowness principle
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
Jason Kuen
K. Lim
C. Lee
38
44
0
14 Apr 2016
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam
Bohyung Han
101
2,475
0
27 Oct 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
311
4,177
0
26 Apr 2015
Understanding and Diagnosing Visual Tracking Systems
Understanding and Diagnosing Visual Tracking Systems
Naiyan Wang
Jianping Shi
Dit-Yan Yeung
Jiaya Jia
61
355
0
23 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
89
1,436
0
14 Apr 2015
DeepTrack: Learning Discriminative Feature Representations Online for
  Robust Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Hanxi Li
Yi Li
Fatih Porikli
OOD
86
269
0
28 Feb 2015
Online Tracking by Learning Discriminative Saliency Map with
  Convolutional Neural Network
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong
Tackgeun You
Suha Kwak
Bohyung Han
79
827
0
24 Feb 2015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang
Siyi Li
Abhinav Gupta
Dit-Yan Yeung
52
310
0
19 Jan 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
165
6,053
0
17 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,547
0
01 Sep 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
155
3,656
0
24 Jun 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
274
14,711
0
20 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,193
0
11 Nov 2013
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