您当前的位置:
首页 >
文章列表页 >
YOLOv8 Based on EMA and Swin-Transformer for Apple Detection
Graphic and Image Processing | 更新时间:2026-07-07
    • YOLOv8 Based on EMA and Swin-Transformer for Apple Detection

    • Software Guide   Vol. 25, Issue 6, Pages: 173-181(2026)
    • DOI:10.11907/rjdk.251235    

      CLC: TP394.1
    • Received:02 April 2025,

      Published:15 June 2026

    移动端阅览

  • LIU Zilong,YANG Jiaxuan.YOLOv8 Based on EMA and Swin-Transformer for Apple Detection[J].Software Guide,2026,25(06):173-181. DOI: 10.11907/rjdk.251235.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Enhanced Algorithm for Small Target Detection in UAV Aerial Images Based on YOLO-v7
Small Target Detection Model Based on AE-Tiny YOLOV3
A Motor Imagination Classification Model Based on Graph Convolution Layer Spatiotemporal Attention Network
Lightweight Detection Algorithm of Cow Nipple for Milking Robot
An APT Attack Detection Method Combining Temporal Convolutional Network and Attention Mechanism

Related Author

HAO Zixiao
WANG Qi
Li LIN
Lin JIANG
Zhi-jian ZHANG
YANG Su
WANG Manqing
GAO Dongrui

Related Institution

School of Computer, Jiangsu University of Science and Technology
Faculty of Science, Kunming University of Science and Technology
School of Computing, Chengdu University of Information Science and Technology
School of Life Sciences and Technology, University of Electronic Science and Technology
School of Computing, Wuhan Donghu University
0