Work

Cross-Scenario Unknown-Aware Face Anti-Spoofing With Evidential Semantic Consistency Learning

Year: 2024

Type: article

Source: IEEE Transactions on Information Forensics and Security

DOI: 10.1109/tifs.2024.3356234

Authors: Fangling Jiang, Yunfan Liu, Haolin Si, Jingjing Meng, Qi Li

Institutions: University of South China, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Huawei Technologies (China)

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Hengyang Science and Technology Board, Scientific Research Foundation of Hunan Provincial Education Department, Beijing Municipal Natural Science Foundation, National Key Research and Development Program of China

Awards: G207383538, G2696183769, G2765555527, G3794425125, G3997652748, G4855733178, G6709994346, G8691145940

OpenAlex ID: W4391021705

FWCI: 3.413

Cites: 66

Cited by: 22

Related to: 10