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Content-based image retrieval with compact deep convolutional features
Ahmad Alzu'bi
, Abbes Amira
,
Naeem Ramzan
Research output
:
Contribution to journal
›
Article
›
peer-review
110
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Citations (Scopus)
411
Downloads (Pure)
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Dive into the research topics of 'Content-based image retrieval with compact deep convolutional features'. Together they form a unique fingerprint.
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Keyphrases
Content-based Image Retrieval
100%
Image Features
100%
Deep Convolutional Features
100%
Retrieval Task
75%
Image Data
50%
Oxford
50%
Convolutional Layer
50%
Convolutional Neural Network
50%
Memory Size
25%
Proposed Architecture
25%
Image Retrieval
25%
Network Architecture
25%
Image Descriptors
25%
Retrieval Accuracy
25%
Neural Network
25%
Superior Performance
25%
Neural Network Method
25%
Computer Vision Applications
25%
Excellent Performance
25%
Bilinear
25%
Bilinear Convolutional Neural Network
25%
Deep Convolutional Neural Network (deep CNN)
25%
Backpropagation
25%
Image Vector
25%
Extraction Time
25%
Image Location
25%
Local Patterns
25%
Semantic Metadata
25%
Deep Learning
25%
Image Scale
25%
Parallel Convolutional Neural Network
25%
Feature Extractor
25%
Without Prior Knowledge
25%
Pooling Layer
25%
Convolutional Neural Network Architecture
25%
Computer Science
Content-based image retrieval
100%
Convolutional Neural Network
100%
image feature
80%
Convolutional Layer
40%
Experimental Result
20%
Reported Result
20%
Image Retrieval
20%
Network Architecture
20%
Benchmarking
20%
retrieval accuracy
20%
Computer Vision Applications
20%
Superior Performance
20%
Semantic Metadata
20%
Neural Network Architecture
20%
Outstanding Performance
20%
Deep Convolutional Neural Networks
20%
Deep Learning Method
20%