A sketch recognition method based on bi-modal model using cooperative learning paradigm-Reference-Cited by-同舟云学术

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A sketch recognition method based on bi-modal model using cooperative learning paradigm

Published:2024-05-06 Issue:23 Volume:36 Page:14275-14290
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Shihui,Wang Lei^ORCID,Cui Zhiguo,Wang Shi

Funder

Central Government Guided Local Funds for Science and Technology Development

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province in China

Innovation Capability Improvement Plan Project of Hebei Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09836-2.pdf

Reference42 articles.

1. George A, Mohammadi A, Marcel S et al (2022) Prepended domain transformer: heterogeneous face recognition without bells and whistles. IEEE Trans Inf Forensics Secur 18:133–146

2. Cheema U, Moon S (2023) Disguised heterogeneous face recognition using deep neighborhood difference relational network. Neurocomputing 519:44–56

3. Yang S M, Yang X, Lin Y et al (2021) Heterogeneous face recognition with attention-guided feature disentangling. In: ACM international conference on multimedia, association for computing machinery, Inc, pp 4137–4145

4. Ling Z X, Xing Z, Zhou J et al (2022) Conditional stroke recovery for fine-grained sketch-based image retrieval. In: European conference on computer vision, springer science and business media Deutschland GmbH, pp 722–738

5. Zhang X L, Shen M L, Li X M et al (2022) A deformable CNN-based triplet model for fine-grained sketch-based image retrieval. Pattern Recognit 125

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