Fresh Tea Sprouts Segmentation via Capsule Network-Reference-Cited by-同舟云学术

Fresh Tea Sprouts Segmentation via Capsule Network

Published:2024-05-01 Issue:5 Volume:E107.D Page:728-731
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

QIAN Chunhua¹²,QIN Xiaoyan³,QIANG Hequn²,QIN Changyou²,LI Minyang¹

Affiliation:

1. Nanjing Forestry University

2. Suzhou Polytechnic Institute of Agriculture

3. Global Institute of Software Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Link

https://www.jstage.jst.go.jp/article/transinf/E107.D/5/E107.D_2023EDL8062/_pdf

Reference11 articles.

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2. [2] Z. Gui, J. Chen, Y. Li, Z. Chen, C. Wu, and C. Dong, “A lightweight tea bud detection model based on Yolov5,” Computers and Electronics in Agriculture, vol.205, 107636, Jan. 2023. 10.1016/j.compag.2023.107636

3. [3] C. Qian, M. Li, and Y. Ren, “Tea sprouts segmentation via improved deep convolutional encoder-decoder network,” IEICE Trans. Inf. & Syst., vol.E103-D, no.2, pp.476-479, Feb. 2019. 10.1587/transinf.2019edl8147

4. [4] A. Mobiny, H. Lu, H.V. Nguyen, B. Roysam, and N. Varadarajan, “Automated classification of apoptosis in phase contrast microscopy using capsule network,” IEEE Trans. Med. Imag., vol.39, no.1, pp.1-10, Jan. 2019. 10.1109/tmi.2019.2918181

5. [5] S. Sabour, N. Frosst, and G.E. Hinton, “Dynamic routing between capsules,” Advances in Neural Information Processing Systems (NIPS 2017), Jan. 2018.