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A survey of advances in vision-based vehicle re-identification

A survey of advances in vision-based vehicle re-identification

30 May 2019
Sultan Daud Khan
Habib Ullah
ArXivPDFHTML

Papers citing "A survey of advances in vision-based vehicle re-identification"

14 / 14 papers shown
Title
On the Effectiveness of Heterogeneous Ensemble Methods for
  Re-identification
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
Simon Klüttermann
Jérôme Rutinowski
Anh Nguyen
Britta Grimme
Moritz Roidl
Emmanuel Müller
34
0
0
19 Mar 2024
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using
  Corrupted Multimodal Data
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
Arthur Josi
Mahdi Alehdaghi
Rafael M. O. Cruz
Eric Granger
24
2
0
29 Apr 2023
Bent & Broken Bicycles: Leveraging synthetic data for damaged object
  re-identification
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano
F. G. Pratticó
Alessandro Sebastian Russo
Lorenzo Lanari
Lia Morra
Fabrizio Lamberti
37
1
0
16 Apr 2023
Adaptive Sparse Pairwise Loss for Object Re-Identification
Adaptive Sparse Pairwise Loss for Object Re-Identification
Xiao Zhou
Yujie Zhong
Zhen Cheng
Fan Liang
Lin Ma
18
39
0
31 Mar 2023
Style Variable and Irrelevant Learning for Generalizable Person
  Re-identification
Style Variable and Irrelevant Learning for Generalizable Person Re-identification
Haobo Chen
Chuyang Zhao
Kai-Chun Tu
Junru Chen
Yadong Li
Boxun Li
27
2
0
12 Sep 2022
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach
  using Deep Learning
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning
A. B
M. M
Ujjwal Verma
R. Pai
ViT
38
1
0
13 Aug 2022
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
Malte Pedersen
Joakim Bruslund Haurum
Patrick Dendorfer
T. Moeslund
VOT
31
1
0
20 Jul 2022
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
74
279
0
11 Nov 2021
Multi-target tracking for video surveillance using deep affinity
  network: a brief review
Multi-target tracking for video surveillance using deep affinity network: a brief review
Sanam Nisar Mangi
16
1
0
29 Oct 2021
Neighborhood Consensus Contrastive Learning for Backward-Compatible
  Representation
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu
Liang Chen
Yihang Lou
Yan Bai
Tao Bai
Minghua Deng
Ling-yu Duan
24
8
0
07 Aug 2021
SBNet: Segmentation-based Network for Natural Language-based Vehicle
  Search
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
Sangrok Lee
Taekang Woo
Sang Hun Lee
29
4
0
22 Apr 2021
Applications of deep learning in traffic congestion detection,
  prediction and alleviation: A survey
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
Nishant Kumar
Martin Raubal
AI4TS
AI4CE
30
88
0
19 Feb 2021
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
Angelo Porrello
Luca Bergamini
Simone Calderara
32
65
0
08 Jul 2020
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle
  Identification Using Convolutional Neural Networks
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
I. O. D. Oliveira
Rayson Laroca
David Menotti
K. Fonseca
Rodrigo Minetto
36
23
0
13 Nov 2019
1