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Deep Rival Penalized Competitive Learning for Low-resolution Face
  Recognition

Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition

3 August 2021
Peiying Li
Shikui Tu
Lei Xu
    CVBM
ArXivPDFHTML

Papers citing "Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition"

11 / 11 papers shown
Title
Distilling Generative-Discriminative Representations for Very
  Low-Resolution Face Recognition
Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition
Junzheng Zhang
Weijia Guo
Bochao Liu
Ruixin Shi
Yong Li
Shiming Ge
CVBM
40
0
0
10 Sep 2024
Low-Resolution Object Recognition with Cross-Resolution Relational
  Contrastive Distillation
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation
Kangkai Zhang
Shiming Ge
Ruixin Shi
Dan Zeng
51
13
0
04 Sep 2024
Low-Resolution Face Recognition via Adaptable Instance-Relation
  Distillation
Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation
Ruixin Shi
Weijia Guo
Shiming Ge
CVBM
18
0
0
03 Sep 2024
CATFace: Cross-Attribute-Guided Transformer with Self-Attention
  Distillation for Low-Quality Face Recognition
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
Niloufar Alipour Talemi
Hossein Kashiani
Nasser M. Nasrabadi
ViT
CVBM
17
4
0
05 Jan 2024
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
Jiamu Xu
Xiaoxiang Liu
Xinyuan Zhang
Yain-Whar Si
Xiaofan Li
Zheng Shi
Ke Wang
Xueyuan Gong
CVBM
28
6
0
08 Dec 2023
RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible
  Adversarial Examples Self-Generation and Self-Recovery
RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery
Fan Xing
Xiaoyi Zhou
Xuefeng Fan
Zhuo Tian
Yan Zhao
DiffM
13
0
0
25 Oct 2023
Recognizability Embedding Enhancement for Very Low-Resolution Face
  Recognition and Quality Estimation
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
Jacky Chen Long Chai
T. Ng
C. Low
Jaewoo Park
Andrew Beng Jin Teoh
CVBM
16
19
0
20 Apr 2023
Dive into the Resolution Augmentations and Metrics in Low Resolution
  Face Recognition: A Plain yet Effective New Baseline
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline
Xu Ling
Yichen Lu
Wenqi Xu
Weihong Deng
Yingjie Zhang
Xingchen Cui
Hongzhi Shi
Dongchao Wen
CVBM
24
3
0
11 Feb 2023
Meet-in-the-middle: Multi-scale upsampling and matching for
  cross-resolution face recognition
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition
Klemen Grm
Berkay Özata
Vitomir Štruc
H. K. Ekenel
CVBM
25
3
0
28 Nov 2022
Octuplet Loss: Make Face Recognition Robust to Image Resolution
Octuplet Loss: Make Face Recognition Robust to Image Resolution
Martin Knoche
Mohamed Elkadeem
S. Hörmann
Gerhard Rigoll
CVBM
34
11
0
14 Jul 2022
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
250
921
0
03 Dec 2014
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