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Image Aesthetics Assessment Using Composite Features from off-the-Shelf
  Deep Models

Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models

22 February 2019
Xin Fu
Jia Yan
Cien Fan
ArXivPDFHTML

Papers citing "Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models"

4 / 4 papers shown
Title
A Survey of Human-in-the-loop for Machine Learning
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu
Luwei Xiao
Yixuan Sun
Junhang Zhang
Tianlong Ma
Liangbo He
SyDa
46
507
0
02 Aug 2021
A Survey on Image Aesthetic Assessment
A Survey on Image Aesthetic Assessment
A. Anwar
Saira Kanwal
Muhammad Mohsin Tahir
Muhammad Saqib
Muhammad Uzair
Mohammad Khalid Imam Rahmani
Habib Ullah
33
3
0
22 Mar 2021
NICER: Aesthetic Image Enhancement with Humans in the Loop
NICER: Aesthetic Image Enhancement with Humans in the Loop
Michael Fischer
Konstantin Kobs
Andreas Hotho
24
8
0
03 Dec 2020
Image Aesthetics Prediction Using Multiple Patches Preserving the
  Original Aspect Ratio of Contents
Image Aesthetics Prediction Using Multiple Patches Preserving the Original Aspect Ratio of Contents
Lijie Wang
Xueting Wang
T. Yamasaki
18
4
0
05 Jul 2020
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