您当前的位置：
首页 >
文章列表页 >
Few-Shot Object Detection Algorithm in Remote Sensing Images Based on Contrastive Learning
Graphic and Image Processing | 更新时间：2025-06-24

    • Few-Shot Object Detection Algorithm in Remote Sensing Images Based on Contrastive Learning

    • “In the field of remote sensing image object detection, researchers have proposed a small sample object detection model based on the Faster RCNN model, which effectively improves the accuracy of new class sample detection and mitigates catastrophic forgetting phenomena.”
    • Software Guide   Vol. 24, Issue 6, Pages: 151-159(2025)

    • DOI：10.11907/rjdk.241162    

      CLC： TP391.41

    • Received：24 February 2024，

      Published：16 June 2025

    移动端阅览

  • LI Zonglin,FU Ying.Few-Shot Object Detection Algorithm in Remote Sensing Images Based on Contrastive Learning[J].Software Guide,2025,24(06):151-159. DOI： 10.11907/rjdk.241162.

  •  
  •  

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

QB-YOLO： Colorectal Polyp Detection Algorithm Based on Improved YOLOv5s
A Review of Rotational Speed Measurement and Trajectory Budgeting Algorithms for High-speed Rotating Targets
Human Pose Tracking Method Based on Computer Vision Technology
Network Intrusion Detection Based on Deep Clustering and Contrastive Learning

Related Author

ZHANG Zijian
XU Jianyu
YANG Huan
ZHANG Ke
GENG Yaning
JI Yunfeng
LIU Heng
GAO Xinyan

Related Institution

School of Software， South China Normal University
Sports Department of SouthWest University of Political Science&Law
School of Health Science and Engineering，University of Shanghai for Science and Technology
Shandong Hoteam Software Co.，Ltd.，Ji'nan
School of Computer Science and Technology， Shandong Jianzhu University
0