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We propose a novel fusion model of deep neural networks that combines IR and visible light face images, named HyperFace. The DNN model is characterized by bi- ...
Apr 27, 2024 · The proposed model features a pre-fusion scheme, a Siamese encoder with bi-scope residual dense learning, a feedback-style decoder, and a ...
Feb 26, 2021 · The proposed fusion model is characterized by residual dense learning, a feedback style encoder and a recognition-oriented loss function. During ...
The proposed model features a pre-fusion scheme, a Siamese encoder with bi-scope residual dense learning, a feedback-style decoder, and a recognition-oriented ...
Apr 27, 2024 · Face recognition has been well studied under visible light and infrared (IR) in both intra-spectral and cross-spectral cases.
Aug 2, 2020 · The proposed fusion model is characterized by residual dense learning, a feedback style encoder and a recognition-oriented loss function. During ...
Missing: HyperFace: | Show results with:HyperFace:
Fusion Model for Hyperspectral Face Recognition | These authors ... HyperFace: A Deep Fusion Model for Hyperspectral Face Recognition. Article.
We propose a single CNN model for simultaneous face detection, landmark localization, pose estimation and gen- der classification. The network architecture is ...
Missing: Hyperspectral | Show results with:Hyperspectral
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HyperFace: A Deep Fusion Model for Hyperspectral Face Recognition. Sensors ... HyperFace: A Deep Fusion Model for Hyperspectral Face Recognition.