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CoT-YOLOv8: Improved YOLOv8 for Aerial images Small Target Detection
Yuhe Wang,
Feng Pan
, Zhenxu Li, Xiuli Xin, Weixing Li
自动化学院
Beijing Institute of Technology
Ltd.
科研成果
:
书/报告/会议事项章节
›
会议稿件
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同行评审
2
引用 (Scopus)
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探究 'CoT-YOLOv8: Improved YOLOv8 for Aerial images Small Target Detection' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Object Detection
100%
Detection Accuracy
66%
Backbone Network
66%
Unmanned Aerial Vehicle
33%
Research Direction
33%
Detection Method
33%
False Alarm Rate
33%
Convolutional Network
33%
Contextual Information
33%
Convolutional Block Attention
33%
Miss Rate
33%
Engineering
Small-Target Detection
100%
Aerial Image
100%
Tasks
50%
Unmanned Aerial Vehicle
25%
False Alarm Rate
25%
Detecting Target
25%
Target Object
25%
Earth and Planetary Sciences
Pilotless Aircraft
100%
False Alarm
100%
Detection Method
100%
Agricultural and Biological Sciences
Spine
100%
Unmanned Aerial Vehicle
50%