IQAGA: Image Quality Assessment-Driven Learning with GAN-Based Dataset Augmentation for Cross-Domain Person Re-Identification-Reference-Cited by-同舟云学术

IQAGA: Image Quality Assessment-Driven Learning with GAN-Based Dataset Augmentation for Cross-Domain Person Re-Identification

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
language:
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Author:

Pham Dang H.¹^ORCID,Nguyen Anh D.²^ORCID,Vu Long V.²^ORCID,Nguyen Hoa N.²^ORCID

Affiliation:

1. Department of Information Systems, VNU University of Engineering and Technology, Vietnam National University, Viet Nam and Department of Information Technology, University of Khanh Hoa, Vietnam

2. Department of Information Systems, VNU University of Engineering and Technology, Vietnam National University, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628961

Reference42 articles.

1. SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Data

2. Learning Invariance From Generated Variance for Unsupervised Person Re-Identification

3. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

4. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

5. μPEWFace: Parallel ensemble of weighted deep convolutional neural networks with novel loss functions for face-based authentication

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