Multi-task convolutional neural network for image aesthetic assessment

v1v2 (latest)

Multi-task convolutional neural network for image aesthetic assessment

16 May 2023

ArXiv (abs)PDF HTML

Papers citing "Multi-task convolutional neural network for image aesthetic assessment"

13 / 13 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,103 0 01 Mar 2022
Composition and Style Attributes Guided Image Aesthetic Assessment Luigi Celona Marco Leonardi Paolo Napoletano A. Rozza CoGe GAN 19 35 0 08 Nov 2021
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities Uri Shaham Igal Zaidman Jonathan Svirsky OOD 28 7 0 15 Nov 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 142 18,168 0 28 May 2019
Learning Photography Aesthetics with Deep CNNs G. Malu R. Bapi B. Indurkhya 39 42 0 13 Jul 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,070 0 07 Oct 2016
Image Aesthetic Assessment: An Experimental Survey Yubin Deng Chen Change Loy Xiaoou Tang 101 265 0 04 Oct 2016
Photo Aesthetics Ranking Network with Attributes and Content Adaptation Shu Kong Xiaohui Shen Zhe Lin R. Měch Charless C. Fowlkes 83 443 0 06 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 349 7,995 0 23 May 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.