上海交大研究生院主页平台管理系统 xionghongkai--Home-- SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks

Personal Information

VIEW MORE

Home > Scientific Research > Paper Publications

SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks

Date of Publication:2020-10-01 Hits:

Journal:ACM International Conference on Multimedia
Translation or Not:no
Date of Publication:2020-10-01
Indexed by:会议论文

Pre One:Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding

Next One:Rotation Equivariant Graph Convolutional Network for Spherical Image Classification

Recommend this article