ShuffleNet-Triplet: A lightweight RE-identification network for dairy cows in natural scenes-Reference-Cited by-同舟云学术

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ShuffleNet-Triplet: A lightweight RE-identification network for dairy cows in natural scenes

Published:2023-02 Issue: Volume:205 Page:107632
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Wang Yunfei,Xu Xingshi,Wang Zheng,Li Rong,Hua Zhixin,Song Huaibo

Funder

Shaanxi Province Department of Science and Technology

ShanXi Science and Technology Department

National Natural Science Foundation of China

Northwest A and F University

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference20 articles.

1. Andrew, W., Greatwood, C., Burghardt, T. 2017. Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning. IEEE International Conference on Computer Vision Workshop.

2. Andrew, W., Gao, J., Mullan, S., et al. 2021. Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning. 10.1016/j.compag.2021.106133.

3. Analysis of fieldwork activities during milk production recording in dairy ewes by means of individual ear tag (ET) alone or plus RFID based electronic identification (EID);Cappai;Comput. Electron. Agric.,2018

4. Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu, Dongjingdian Liu. 2022. ResT-ReID: Transformer block-based residual learning for person re-identification. 157: 90-96. https://doi.org/10.1016/j.patrec.2022.03.020.

5. Real-time target detection for moving cows based on Gaussian mixture model;Dong;Trans. Chin. Soc. Agric. Mach.,2016

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