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西北工业大学 国内
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Lightweight and fast visual detection method for 3C assembly
Wenbai Chen, Genjian Yang, Bo Zhang, Jingchen Li, Yiqun Wang,
Haobin Shi
计算机学院
Beijing Information Science & Technology University
Northwestern Polytechnical University Xian
科研成果
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探究 'Lightweight and fast visual detection method for 3C assembly' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Activation Function
25%
Backbone Network
25%
Computational Cost
25%
Convolutional Neural Network
75%
Detection Accuracy
25%
Detection Algorithm
25%
Detection Method
100%
Feature Extraction
50%
Feature Extraction Network
50%
Feature Fusion
25%
Fusion Structure
25%
Input Feature Map
25%
local feature
25%
Network Architecture
25%
Target Recognition
25%
Vision Transformer
25%
YOLOv5
100%
Engineering
Activation Function
33%
Comparative Experiment
33%
Computational Cost
33%
Convolutional Neural Network
100%
Data Flow
33%
Detection Algorithm
33%
Feature Extraction
66%
Feature Extraction Network
66%
Fusion Structure
33%
Input Feature
33%
Limitations
33%
Target Recognition
33%
Target Tracking
100%