@inproceedings{6ff86c750a6a4219a64ed61a4279aacf,
title = "Method for Detecting Boar Abdominal Characteristics based on Deep Learning",
abstract = "Numerous applications of machine vision exist in animal husbandry research. In this study, we proposed an effective method for detecting boar nipples. This research began with collecting boar abdominal videos during the monthly breeding competition in July 2020 to build a database and then detecting boar nipples via two various neural networks: single shot detector and faster region-based convolutional neural networks. The comparisons showed that the single shot detector achieved better results than the faster region-based convolutional neural networks.",
author = "Li, {Chia Yun} and Kao, {I. Hsi} and Tsai, {Yun Chu} and Perng, {Jau Woei} and Chen, {Wei Wen} and Tai, {Chung Li} and Chu, {Chiao Chien} and Wu, {Ming Che}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 ; Conference date: 15-09-2021 Through 17-09-2021",
year = "2021",
doi = "10.1109/ICCE-TW52618.2021.9603086",
language = "English",
series = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021",
address = "美國",
}