A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Bayesian Convolutional Neural Networks for Seven Basic Facial Expression Classifications
[article]
2021
arXiv
pre-print
The seven basic facial expression classifications are a basic way to express complex human emotions and are an important part of artificial intelligence research. Based on the traditional Bayesian neural network framework, the ResNet18_BNN network constructed in this paper has been improved in the following three aspects: (1) A new objective function is proposed, which is composed of the KL loss of uncertain parameters and the intersection of specific parameters. Entropy loss composition. (2)
arXiv:2107.04834v2
fatcat:ra6sqgy2vfghnoxc3l6gfnz27m