Facial Recognition of Dairy Cattle Based on Improved Convolutional Neural Network
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University
2. College of Electronic Information Engineering, Inner Mongolia University
3. School of Mathematical Sciences, Inner Mongolia University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E105.D/6/E105.D_2022EDP7008/_pdf
Reference10 articles.
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2. [2] S. Kumar, S.K. Singh, A.I. Abidi, D. Datta, and A.K. Sangaiah, “Group sparse representation approach for recognition of cattle on muzzle point images,” International Journal of Parallel Programming, vol.46, no.5, pp.812-837, 2018. 10.1007/s10766-017-0550-x
3. [3] S. Kumar, S.K. Singh, R.S. Singh, A.K. Singh, and S. Tiwari, “Real-time recognition of cattle using animal biometrics,” Journal of Real-Time Image Processing, vol.13, no.3, pp.505-526, 2017. 10.1007/s11554-016-0645-4
4. [4] S. Kumar, S. Tiwari, and S.K. Singh, “Face Recognition of Cattle: Can it be Done?” Proc. National Academy of Sciences, India Section A: Physical Sciences, vol.86, no.2, pp.137-148, 2016. 10.1007/s40010-016-0264-2
5. [5] R. Wu, and S. Kamata, “Sparse Graph Based Deep Learning Networks for Face Recognition,” IEICE Trans. Information and Systems, vol.E101-D, no.9, pp.2209-2219, 2019. 10.1587/transinf.2017pcp0012
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