BPMB: BayesCNNs with perturbed multi-branch structure for robust facial expression recognition-Reference-Cited by-同舟云学术

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BPMB: BayesCNNs with perturbed multi-branch structure for robust facial expression recognition

Published:2024-03 Issue: Volume:143 Page:104960
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Liu Shuaishi,Zhao Dongxu,Sun Zhongbo,Chen Yuekun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. Gfft: global-local feature fusion transformers for facial expression recognition in the wild;Xu;Image Vis Comput,,2023

2. Fgbcnn: a unified bilinear architecture for learning a fine-grained feature representation in facial expression recognition;Shabbir;Image Vis Comput,,2023

3. A novel facial expression recognition algorithm using geometry β -skeleton in fusion based on deep cnn;Jabbooree;Image Vis. Comput.,2023

4. What uncertainties do we need in bayesian deep learning for computer vision?;Kendall;Conference on Neural Information Processing Systems (NeurIPS),2017

5. Region attention networks for pose and occlusion robust facial expression recognition;Wang;IEEE Trans. Image Process.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognition of facial emotion based on SOAR model;Frontiers in Neuroscience;2024-05-17

2. Image classification methods based on plain Bayesian inference: an experiment from AGH;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

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