Optimizing Train-Test Data for Person Re-Identification in Real-World Applications-Reference-Cited by-同舟云学术

Optimizing Train-Test Data for Person Re-Identification in Real-World Applications

Published:2022-02-18 Issue: Volume: Page:
ISSN:
Container-title:2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
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Author:

Groot Herman G.J.¹,Alkanat Tunc¹,Bondarev Egor¹,de With Peter H.N.¹

Affiliation:

1. EE,VCA Group, Eindhoven University of Technology, The Netherlands

Funder

Interreg

ITEA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3523111.3523121

Reference26 articles.

1. Hao Chen , Benoit Lagadec , and Francois Bremond . 2019 . Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification. In CVPR Workshops. Hao Chen, Benoit Lagadec, and Francois Bremond. 2019. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification. In CVPR Workshops.

2. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification

3. Dong Seon Cheng Marco Cristani Michele Stoppa Loris Bazzani and Vittorio Murino. 2011. Custom pictorial structures for re-identification.. In Bmvc Vol. 1. Citeseer 6. Dong Seon Cheng Marco Cristani Michele Stoppa Loris Bazzani and Vittorio Murino. 2011. Custom pictorial structures for re-identification.. In Bmvc Vol. 1. Citeseer 6.

4. Pedro F Felzenszwalb , Ross B Girshick , David McAllester , and Deva Ramanan . 2009. Object detection with discriminatively trained part-based models . IEEE transactions on pattern analysis and machine intelligence 32, 9( 2009 ), 1627–1645. Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan. 2009. Object detection with discriminatively trained part-based models. IEEE transactions on pattern analysis and machine intelligence 32, 9(2009), 1627–1645.

5. Maritime vessel re-identification: novel VR-VCA dataset and a multi-branch architecture MVR-net