Research of Lightweight Multi-scene Group Pig Behavior Recognition Model

被引：0
|
作者：
Qi, Haixia [1 ]
Feng, Fasheng [1 ]
Yin, Xuanchun [1 ]
Yang, Zekang [1 ]
Zhou, Zisen [1 ]
Liang, Guangsheng [1 ]
机构：
[1] College of Engineering, South China Agrieultural Vniversity, Guangzhou,510642, China
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2024年 / 55卷 / 10期
关键词：
Fertilizers - Image annotation - Image segmentation - Photomapping;
D O I：
10.6041/j.issn.1000-1298.2024.10.029
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：306 / 317
相关论文
共 50 条
  • [21] Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network
    Zhu, Suguo
    Zhan, Yibing
    Zhao, Guo
    ARTIFICIAL INTELLIGENCE, CICAI 2022, PT I, 2022, 13604 : 609 - 621
  • [22] BEW-YOLOv8: A deep learning model for multi-scene and multi-scale flood depth estimation
    Liu, Bo
    Li, Yingbing
    Feng, Xiaoke
    Lian, Peige
    JOURNAL OF HYDROLOGY, 2024, 645
  • [23] A lightweight and explainable model for driver abnormal behavior recognition
    Hao, Jingbin
    Sun, Xiaokai
    Liu, Xinhua
    Hua, Dezheng
    Hu, Jianhua
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 139
  • [24] A Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images
    Xiong, Boli
    Sun, Zhongzhen
    Wang, Jin
    Leng, Xiangguang
    Ji, Kefeng
    REMOTE SENSING, 2022, 14 (23)
  • [25] Research on the recognition of pig behavior based on contour features
    Zhu Weixing
    Wang Yong
    2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL II, 2010, : 181 - 184
  • [26] DYOLO: A Novel Object Detection Model for Multi-scene and Multi-object Based on an Improved D-Net Split Task Model is Proposed
    Ma, Hui
    Bai, Limin
    Li, Yunyi
    Shi, Gongcheng
    Yang, Ming
    Fan, Haifeng
    Zhang, ChuanLei
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT V, ICIC 2024, 2024, 14866 : 457 - 467
  • [27] A Lightweight Multi-Scale Model for Speech Emotion Recognition
    Li, Haoming
    Zhao, Daqi
    Wang, Jingwen
    Wang, Deqiang
    IEEE ACCESS, 2024, 12 : 130228 - 130240
  • [28] Multi-Feature Enhancement and Adaptation for Lightweight Human Behavior Recognition
    Ding, Shuai
    Kuang, Liqun
    Li, Qingde
    Cheng, Yongqiang
    Han, Huiyan
    Cao, Yaming
    2024 29TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING, ICAC 2024, 2024, : 111 - 116
  • [29] Simulation of Forest-grass Ecological Network Based on Multi-scene Model in Typical Desert-oasis Ecotone
    Su K.
    Yu Q.
    Yang D.
    Zhang Q.
    Yang L.
    Sun X.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (09): : 243 - 253
  • [30] A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study
    Zhang, Hao
    Yuan, Genji
    Zhang, Ziyue
    Guo, Xiang
    Xu, Ruixiang
    Xu, Tongshuai
    Zhong, Xin
    Kong, Meng
    Zhu, Kai
    Ma, Xuexiao
    INSIGHTS INTO IMAGING, 2024, 15 (01):
12345