LLRFaceFormer: Lightweight Face Transformer for Real-World Low-Resolution Recognition-Reference-Cited by-同舟云学术

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LLRFaceFormer: Lightweight Face Transformer for Real-World Low-Resolution Recognition

Published:2024-05-01 Issue:9 Volume:11 Page:16769-16787
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Song Yaozhe¹^ORCID,Wang Chaoyi²^ORCID,Tang Hongying²^ORCID,Han Songrui¹,Li Mingchi¹,Tong Guanjun²^ORCID

Affiliation:

1. School of Science and Technology on Micro-System Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China

2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

Funder

Project Program of Science and Technology on Micro-System Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10508620/10409292.pdf?arnumber=10409292

Reference69 articles.

1. Lightweight Privacy-Preserving Ensemble Classification for Face Recognition

2. Redundancy Removing Aggregation Network With Distance Calibration for Video Face Recognition

3. Sparse Common Feature Representation for Undersampled Face Recognition

4. Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System

5. FaceNet: A unified embedding for face recognition and clustering

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