Learning multi-level domain invariant features for sketch re-identification-Reference-Cited by-同舟云学术

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Learning multi-level domain invariant features for sketch re-identification

Published:2020-08 Issue: Volume:403 Page:294-303
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Gui Shaojun,Zhu Yu,Qin Xiangxiang,Ling Xiaofeng

Funder

Shanghai Association for Science and Technology

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference50 articles.

1. Person re-identification in the wild;Zheng,2017

2. Multiple people tracking by lifted multicut and person re-identification;Tang,2017

3. Coupled information theoretic encoding for face photo-sketch recognition;Zhang,2011

4. Face photo retrieval by sketch example;Galoogahi,2012

5. Cross-domain adversarial feature learning for sketch Re-identification;Pang,2018

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3. Comprehensive Survey on Person Identification: Queries, Methods, and Datasets;Proceedings of the 1st ICMR Workshop on Multimedia Object Re-Identification;2024-06-10

4. A Systematic Literature Review of Deep Learning Approaches for Sketch-Based Image Retrieval: Datasets, Metrics, and Future Directions;IEEE Access;2024

5. MSIF: multi-spectrum image fusion method for cross-modality person re-identification;International Journal of Machine Learning and Cybernetics;2023-08-05

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