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Cross-Modal Aligned Identity-Discriminative Feature Learning Network For Face Sketch Recognition by dranzer.firestrom is a document available to read on EtoBox.

What is Cross-Modal Aligned Identity-Discriminative Feature Learning Network For Face Sketch Recognition about?

This paper introduces the Cross-Modal Aligned Identity-Discriminative Feature Learning Network (CAIFL-Net) for face sketch recognition, addressing the challenges posed by cross-modal differences between face sketches and photos. The proposed method includes an identity-discriminative feature preservation module to capture critical features and a sketch-photo cross-reconstructed feature alignment module to enhance recognition accuracy. Experiments demonstrate the effectiveness of CAIFL-Net on the Uom-SGFS an

Author

dranzer.firestrom

Language

EN