A Self-Adaptive and Multiple Activation Function Neural Network for Facial Expression Recognition

Author:

Zhang Shizhuo1,Liu Qiong1,Wu Xibao1,Chen Wenbai1

Affiliation:

1. Automation School, Beijing Information Science and Technology University, Beijing China

Publisher

ACM

Reference23 articles.

1. State-of-the-art in artificial neural network applications: A survey

2. Zou Z , Shi Z , Guo Y , and Ye J . ( 2019 ). Object detection in 20 years: A survey. arXiv preprint arXiv:1905.05055 . Zou Z, Shi Z, Guo Y, and Ye J. (2019). Object detection in 20 years: A survey. arXiv preprint arXiv:1905.05055.

3. Wang N , Wang Y , and Er M.J . ( 2020 ). Review on deep learning techniques for marine object recognition: Architectures and algorithms. Control Engineering Practice, 104458 . Wang N, Wang Y, and Er M.J. (2020). Review on deep learning techniques for marine object recognition: Architectures and algorithms. Control Engineering Practice, 104458.

4. Reading Between the Lies

5. Simonyan K , and Zisserman A . ( 2014 ). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 . Simonyan K, and Zisserman A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556.

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