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西北工业大学 国内
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RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
Gong Cheng
, Peicheng Zhou,
Junwei Han
自动化学院
Northwestern Polytechnical University Xian
科研成果
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160
引用 (Scopus)
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指纹
探究 'RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Convolutional Neural Network
100%
Object Detection
100%
Rotation Invariant
100%
Neural Network Architecture
16%
Objective Function
16%
Neural Network Model
16%
Effective Method
16%
Baseline Method
16%
Deep Convolutional Neural Networks
16%
Regularization
16%
Earth and Planetary Sciences
State of the Art
100%
Feature Representation
100%
Volatile Organic Compound
100%
Engineering
Convolutional Neural Network
100%
Similarity
14%
Network Model
14%
Objective Function
14%
Neural Network Architecture
14%
Regularization
14%
Aerial Image
14%
Detection Task
14%
Food Science
Volatile Organic Compound
100%
Chemical Engineering
Neural Network
100%