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A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network

The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as the FTSGAN for infrared and visible image fusion and we utilize FTSGAN model to fuse the face image features of infrared...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Xianglong Chen, Haipeng Wang, Yaohui Liang, Ying Meng, Shifeng Wang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2021-12-01
Saila:Sensors
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/1424-8220/22/1/304
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