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Exploring Kolmogorov-Arnold networks for realistic image sharpness
  assessment

Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment

12 September 2024
Shaode Yu
Ze Chen
Zhimu Yang
Jiacheng Gu
Bizu Feng
ArXivPDFHTML

Papers citing "Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment"

5 / 5 papers shown
Title
A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)
A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)
Yuntian Hou
Di zhang
AI4CE
62
32
0
13 Jul 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
218
538
0
30 Apr 2024
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
88
179
0
27 Mar 2023
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
102
564
0
14 Oct 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
329
11,734
0
11 Jan 2018
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