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. 1511.04136
  4. Cited By
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

13 November 2015
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
    VOT
ArXivPDFHTML

Papers citing "UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking"

4 / 104 papers shown
Title
Machine Learning Methods for Data Association in Multi-Object Tracking
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami
P. Pardalos
L. Elefteriadou
Sanjay Ranka
VOT
14
40
0
19 Feb 2018
Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties
A. Kampker
M. Sefati
Arya Rachman
K. Kreisköther
P. Campoy
3DPC
17
29
0
08 Jan 2018
3D-DETNet: a Single Stage Video-Based Vehicle Detector
3D-DETNet: a Single Stage Video-Based Vehicle Detector
Suichan Li
3DPC
19
21
0
05 Jan 2018
Context-Aware Single-Shot Detector
Context-Aware Single-Shot Detector
Wei Xiang
Dong-Qing Zhang
H. H. Yu
V. Athitsos
ObjD
19
46
0
27 Jul 2017
Previous
123