Seg-DGDNet: Segmentation Based Disguise Guided Dropout Network for Low Resolution Face Recognition-Reference-Cited by-同舟云学术

Seg-DGDNet: Segmentation Based Disguise Guided Dropout Network for Low Resolution Face Recognition

Published:2023-11 Issue:6 Volume:17 Page:1264-1276
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Dosi Muskan¹^ORCID,Chiranjeev Chiranjeev¹^ORCID,Agarwal Shivang¹^ORCID,Chaudhary Jyoti¹^ORCID,Manchanda Sunny²^ORCID,Balutia Kavita²^ORCID,Bhagwatkar Kaushik²^ORCID,Vatsa Mayank¹^ORCID,Singh Richa¹^ORCID

Affiliation:

1. Computer Science and Engineering, IIT Jodhpur, Jodhpur, India

2. DRDO Young Scientist Laboratory - Artificial Intelligence (DYSL-AI), Bangalore, India

Funder

DYSL-Bangalore

Swarnajayanti Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/10378961/10163869.pdf?arnumber=10163869

Reference49 articles.

1. ElasticFace: Elastic Margin Loss for Deep Face Recognition

2. ArcFace: Additive Angular Margin Loss for Deep Face Recognition

3. A Light CNN for Deep Face Representation With Noisy Labels

4. Dual Sensor Indian Masked Face Dataset

5. Disguise Resilient Face Verification

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