ResearchTrend.AI
A single target tracking algorithm based on Generative Adversarial Networks

A single target tracking algorithm based on Generative Adversarial Networks

Zhaofu Diao
ArXivPDFHTML

Papers citing "A single target tracking algorithm based on Generative Adversarial Networks"

4 / 4 papers shown
Title
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
Daniel Gordon
Ali Farhadi
Dieter Fox
VOT
28
48
0
17 May 2017
End-to-end representation learning for Correlation Filter based tracking
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre
Luca Bertinetto
João F. Henriques
Andrea Vedaldi
Philip Torr
53
1,396
0
20 Apr 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video
Esteban Real
Jonathon Shlens
S. Mazzocchi
Xin Pan
Vincent Vanhoucke
VOS
ObjD
55
534
0
02 Feb 2017
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
57
3,863
0
30 Jun 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.