4.7 Article

Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematics

Multi-Output Learning Based on Multimodal GCN and Co-Attention for Image Aesthetics and Emotion Analysis

Haotian Miao et al.

Summary: With the development of social networks and intelligent terminals, the number of social images has significantly increased, leading to higher demands for automatic image processing. Machine learning and deep learning have become powerful methods for solving mathematical problems in image processing and pattern recognition.

MATHEMATICS (2021)

Article Engineering, Electrical & Electronic

Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network

Weixia Zhang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)

Article Computer Science, Artificial Intelligence

NIMA: Neural Image Assessment

Hossein Talebi et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Computer Science, Artificial Intelligence

Deep Aesthetic Quality Assessment With Semantic Information

Yueying Kao et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Article Automation & Control Systems

No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments

Leida Li et al.

IEEE TRANSACTIONS ON CYBERNETICS (2016)

Article Computer Science, Information Systems

Rating Image Aesthetics Using Deep Learning

Xin Lu et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2015)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Article Computer Science, Artificial Intelligence

Image Quality Assessment Based on Multiscale Geometric Analysis

Xinbo Gao et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2009)