Deep coupled ResNet for low-resolution face recognition
Face images captured by surveillance cameras are often of low resolution (LR), which adversely affects the performance of their matching with high-resolution (HR) gallery images. Existing methods including super resolution, coupled mappings (CMs), multidimensional scaling, and convolutional neural n...
Saved in:
Main Authors: | Lu, Ze, Jiang, Xudong, Kot, Alex |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142565 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Feature fusion with covariance matrix regularization in face recognition
by: Lu, Ze, et al.
Published: (2018) -
An Investigation of Deep Learning Models for EEG-Based Emotion Recognition
by: Zhang, Y., et al.
Published: (2021) -
Face recognition with accessories using CNN
by: Muhammad Shafiq B Ninaba
Published: (2024) -
Intelligent image recognition system for marine fouling using softmax transfer learning and deep convolutional neural networks
by: Chin, C. S., et al.
Published: (2018) -
Learning temporal information for brain-computer interface using convolutional neural networks
by: Sakhavi, Siavash, et al.
Published: (2018)