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2003.03849
Cited By
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment
8 March 2020
Zhihua Wang
Kede Ma
AAML
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ArXiv
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Papers citing
"Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment"
6 / 6 papers shown
Title
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention
Jiebin Yan
Ziwen Tan
Yuming Fang
Jiale Rao
Yifan Zuo
63
1
0
26 Feb 2025
Learning to Blindly Assess Image Quality in the Laboratory and Wild
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
29
58
0
01 Jul 2019
NIMA: Neural Image Assessment
Hossein Talebi
P. Milanfar
3DH
49
892
0
15 Sep 2017
Learning a No-Reference Quality Metric for Single-Image Super-Resolution
Chao Ma
Chih-Yuan Yang
Xiaokang Yang
Ming-Hsuan Yang
SupR
17
509
0
18 Dec 2016
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
S. Bosse
Dominique Maniry
K. Müller
Thomas Wiegand
Wojciech Samek
49
994
0
06 Dec 2016
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
221
11,183
0
18 Jun 2014
1