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. 2304.00950
  4. Cited By
Semi-Automated Computer Vision based Tracking of Multiple Industrial
  Entities -- A Framework and Dataset Creation Approach

Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach

3 April 2023
Jérôme Rutinowski
Hazem Youssef
Sven Franke
Irfan Fachrudin Priyanta
Frederik Polachowski
Moritz Roidl
Christopher Reining
ArXivPDFHTML

Papers citing "Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach"

4 / 4 papers shown
Title
POPCat: Propagation of particles for complex annotation tasks
POPCat: Propagation of particles for complex annotation tasks
Adam Srebrnjak Yang
Dheeraj Khanna
John S. Zelek
29
0
0
24 Jun 2024
Industrial Segment Anything -- a Case Study in Aircraft Manufacturing,
  Intralogistics, Maintenance, Repair, and Overhaul
Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul
Keno Moenck
Arne Wendt
Philipp Prünte
Julian Koch
Arne Sahrhage
...
Falko Kähler
Dirk Holst
Martin Gomse
Thorsten Schuppstuhl
Daniel Schoepflin
VLM
26
6
0
24 Jul 2023
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang
Pei Sun
Yi-Xin Jiang
Dongdong Yu
Fucheng Weng
Zehuan Yuan
Ping Luo
Wenyu Liu
Xinggang Wang
VOT
99
1,317
0
13 Oct 2021
MOT20: A benchmark for multi object tracking in crowded scenes
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer
Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
Daniel Cremers
Ian Reid
Stefan Roth
Konrad Schindler
Laura Leal-Taixé
VOT
166
629
0
19 Mar 2020
1