ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.10561
  4. Cited By
End-to-end Active Object Tracking via Reinforcement Learning

End-to-end Active Object Tracking via Reinforcement Learning

30 May 2017
Wenhan Luo
Peng Sun
Fangwei Zhong
Wei Liu
Yadong Mu
Yizhou Wang
ArXivPDFHTML

Papers citing "End-to-end Active Object Tracking via Reinforcement Learning"

11 / 11 papers shown
Title
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
Fangwei Zhong
Kui Wu
Churan Wang
Hao Chen
Hai Ci
Zhoujun Li
Yizhou Wang
VGen
38
0
0
31 Dec 2024
Empowering Embodied Visual Tracking with Visual Foundation Models and
  Offline RL
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Fangwei Zhong
Kui Wu
Hai Ci
Churan Wang
Hao Chen
OffRL
39
2
0
15 Apr 2024
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
Xiangyu Yin
Wenjie Ruan
J. Fieldsend
AAML
35
28
0
17 Jul 2022
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement
  Learning-based Beam Search
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Xiao Wang
Zhe Chen
Bo Jiang
Jin Tang
B. Luo
Dacheng Tao
37
18
0
19 May 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object
  Tracking
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
Zeyu Fang
Jian Zhao
Mingyu Yang
Wen-gang Zhou
Zhenbo Lu
Houqiang Li
28
10
0
22 Feb 2022
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Jiawei Wang
Zicheng He
Chunwei Song
Changyin Sun
33
54
0
31 Aug 2021
C^3Net: End-to-End deep learning for efficient real-time visual active
  camera control
C^3Net: End-to-End deep learning for efficient real-time visual active camera control
C. Kyrkou
24
5
0
28 Jul 2021
Deep Learning in Medical Image Registration: A Survey
Deep Learning in Medical Image Registration: A Survey
Grant Haskins
Uwe Krüger
Pingkun Yan
MedIm
24
585
0
05 Mar 2019
Correlation Filter Selection for Visual Tracking Using Reinforcement
  Learning
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Yanchun Xie
Jimin Xiao
H. Asghar
Jeyarajan Thiyagalingam
Dali Kaafar
18
21
0
08 Nov 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
W. Liu
K. Cheng
MQ
30
550
0
01 Aug 2018
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
1