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Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic
  Quality Assessment

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment

8 January 2022
Xin Jin
Hao Lou
Heng Huang
Xiaodong Li
Shuai Cui
Xiaokun Zhang
Xiqiao Li
ArXivPDFHTML

Papers citing "Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment"

5 / 5 papers shown
Title
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
131
3,992
0
08 Oct 2019
Composition-Aware Image Aesthetics Assessment
Composition-Aware Image Aesthetics Assessment
Dong Liu
R. Puri
Nagendra Kamath
Subhabrata Bhattacharya
CoGe
50
60
0
25 Jul 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
806
11,866
0
09 Mar 2017
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
99
2,004
0
14 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
343
7,316
0
13 Jun 2016
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