Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet-Reference-Cited by-同舟云学术

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Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet

Published:2024 Issue: Volume:33 Page:655-670
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Niu Xin¹^ORCID,Li Enyi¹,Liu Jinchao¹^ORCID,Wang Yan²^ORCID,Osadchy Margarita³^ORCID,Fang Yongchun¹^ORCID

Affiliation:

1. Tianjin Key Laboratory of Intelligent Robotics, the Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, and the College of Artificial Intelligence, Nankai University, Tianjin, China

2. VisionMetric Ltd., Canterbury, Kent, U.K

3. Department of Computer Science, Haifa University, Haifa, Israel

Funder

National Natural Science Foundation of China

U.S.-Israel Binational Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10384354.pdf?arnumber=10384354

Reference80 articles.

1. Matching Forensic Sketches to Mug Shot Photos

2. Composite sketch recognition via deep network - a transfer learning approach

3. Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition

4. Face sketch synthesis and recognition

5. A Nonlinear Approach for Face Sketch Synthesis and Recognition

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