Feb 27, 2018 · In this letter, we propose the deep coupled ResNet (DCR) model. It consists of one trunk network and two branch networks. The trunk network, ...

Mar 12, 2018 · Abstract—Face images captured by surveillance cameras are of- ten of low resolution (LR), which adversely affects the performance.

In this paper, we propose the Deep Coupled ResNet (DCR) model. It consists of one trunk network and two branch networks. The trunk network, trained by face ...

Deep Coupled ResNet for Low-Resolution Face Recognition. Lu, Ze; ;; Jiang, Xudong; ;; Kot, Alex. Abstract. Publication: IEEE Signal Processing Letters.

Thorough evaluation on LFW and SCface databases shows that the proposed DCR model achieves consistently and considerably better performance than the state ...

Feb 11, 2023 · scale low resolution faces, which contains 169,403 LR faces. ... Deep coupled resnet for low-resolution face ... Low resolution face recognition ...

In this letter, we propose the deep coupled ResNet (DCR) model. It consists of one trunk network and two branch networks. The trunk network, trained by face ...

Jun 20, 2017 · A two-branch convolutional neural network is designed to extract features of high and low resolution face images, and a super-resolution ...

We propose a novel coupled mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture ...

Goal of research is RFG concentrated unconstrained face recognition to enhance the exhibition quality. The Method and Simulation of proposed sensing techniques ...