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Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

27 October 2015
Hyeonseob Nam
Bohyung Han
ArXivPDFHTML

Papers citing "Learning Multi-Domain Convolutional Neural Networks for Visual Tracking"

22 / 522 papers shown
Title
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
30
51
0
28 Nov 2016
Discriminative Correlation Filter with Channel and Spatial Reliability
Discriminative Correlation Filter with Channel and Spatial Reliability
A. Lukežič
Tomás Vojír
L. Č. Zajc
Jirí Matas
Matej Kristan
16
785
0
25 Nov 2016
SANet: Structure-Aware Network for Visual Tracking
SANet: Structure-Aware Network for Visual Tracking
Heng Fan
Haibin Ling
38
232
0
21 Nov 2016
Semantic tracking: Single-target tracking with inter-supervised
  convolutional networks
Semantic tracking: Single-target tracking with inter-supervised convolutional networks
Jingjing Xiao
Qiang Lan
Linbo Qiao
A. Leonardis
8
2
0
19 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
14
907
0
16 Nov 2016
Convolutional Regression for Visual Tracking
Convolutional Regression for Visual Tracking
Kai Chen
Wenbing Tao
21
50
0
14 Nov 2016
Visual Tracking via Boolean Map Representations
Visual Tracking via Boolean Map Representations
Kaihua Zhang
Qingshan Liu
Ming-Hsuan Yang
17
32
0
30 Oct 2016
Spatially Supervised Recurrent Convolutional Neural Networks for Visual
  Object Tracking
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
G. Ning
Zhi Zhang
Chen Huang
Zhihai He
Xiaobo Ren
Haohong Wang
18
245
0
19 Jul 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip H. S. Torr
VOT
18
3,846
0
30 Jun 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
43
4,299
0
29 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip H. S. Torr
Andrea Vedaldi
18
468
0
16 Jun 2016
Once for All: a Two-flow Convolutional Neural Network for Visual
  Tracking
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking
Kai Chen
Wenbing Tao
VOT
7
95
0
26 Apr 2016
Object Detection from Video Tubelets with Convolutional Neural Networks
Object Detection from Video Tubelets with Convolutional Neural Networks
Kai Kang
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
ObjD
11
377
0
14 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
27
477
0
09 Apr 2016
Learning to Track at 100 FPS with Deep Regression Networks
Learning to Track at 100 FPS with Deep Regression Networks
David Held
Sebastian Thrun
Silvio Savarese
OffRL
24
1,190
0
06 Apr 2016
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object
  Recognition
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Ziyan Wang
Jiwen Lu
Ruogu Lin
Jianjiang Feng
Jie zhou
21
29
0
06 Apr 2016
A Comprehensive Performance Evaluation of Deformable Face Tracking
  "In-the-Wild"
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"
Grigorios G. Chrysos
Epameinondas Antonakos
Patrick Snape
Akshay Asthana
S. Zafeiriou
CVBM
19
122
0
18 Mar 2016
Staple: Complementary Learners for Real-Time Tracking
Staple: Complementary Learners for Real-Time Tracking
Luca Bertinetto
Jack Valmadre
Stuart Golodetz
O. Mikšík
Philip H. S. Torr
10
1,570
0
04 Dec 2015
RATM: Recurrent Attentive Tracking Model
RATM: Recurrent Attentive Tracking Model
Samira Ebrahimi Kahou
Vincent Michalski
Roland Memisevic
29
84
0
29 Oct 2015
Online Object Tracking, Learning and Parsing with And-Or Graphs
Online Object Tracking, Learning and Parsing with And-Or Graphs
Tianfu Wu
Yang Lu
Song-Chun Zhu
VOT
15
81
0
27 Sep 2015
Learning to Select Pre-Trained Deep Representations with Bayesian
  Evidence Framework
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim
Taewoong Jang
Bohyung Han
Seungjin Choi
BDL
26
14
0
08 Jun 2015
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
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