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DSMix: Distortion-Induced Sensitivity Map Based Pre-training for
  No-Reference Image Quality Assessment

DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment

4 July 2024
Jinsong Shi
Pan Gao
Xiaojiang Peng
Jie Qin
ArXivPDFHTML

Papers citing "DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment"

9 / 9 papers shown
Title
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Avinab Saha
Sandeep Mishra
A. Bovik
38
79
0
02 Apr 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A
  Multitask Learning Perspective
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang
Guangtao Zhai
Ying Wei
Xiaokang Yang
Kede Ma
VLM
62
177
0
27 Mar 2023
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality
  Assessment
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
Sidi Yang
Tianhe Wu
Shu Shi
Shanshan Lao
S. Gong
Ming Cao
Jiahao Wang
Yujiu Yang
44
309
0
19 Apr 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
402
3,397
0
09 Mar 2020
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of
  Picture Quality
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
Zhenqiang Ying
Haoran Niu
Praful Gupta
D. Mahajan
Deepti Ghadiyaram
A. Bovik
42
304
0
20 Dec 2019
KonIQ-10k: An ecologically valid database for deep learning of blind
  image quality assessment
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Vlad Hosu
Hanhe Lin
T. Szirányi
Dietmar Saupe
74
561
0
14 Oct 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
545
4,735
0
13 May 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
173
11,610
0
11 Jan 2018
Deep Neural Networks for No-Reference and Full-Reference Image Quality
  Assessment
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
S. Bosse
Dominique Maniry
K. Müller
Thomas Wiegand
Wojciech Samek
45
994
0
06 Dec 2016
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