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Transfer detection of YOLO to focus CNN’s attention on nude regions for adult content detection
Nouar Aldahoul
*
, Hezerul Abdul Karim
, Mohd Haris Lye Abdullah
, Mohammad Faizal Ahmad Fauzi
, Abdulaziz Saleh Ba Wazir
, Sarina Mansor
,
John See
*
Corresponding author for this work
School of Mathematical & Computer Sciences
Research output
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Contribution to journal
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Article
›
peer-review
23
Citations (Scopus)
327
Downloads (Pure)
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INIS
detection
100%
neural networks
100%
adults
100%
accuracy
40%
vectors
40%
datasets
40%
applications
20%
randomness
20%
size
20%
performance
20%
humans
20%
classification
20%
benchmarks
20%
people
20%
forests
20%
ablation
20%
Computer Science
Convolutional Neural Network
100%
YOLO
100%
False Negative
28%
Support Vector Machine
28%
Recent Literature
14%
Object Detector
14%
Random Decision Forest
14%
Application Detection
14%
Visual Attention
14%
Extracted Feature
14%
Mathematics
Convolutional Neural Network
100%
Support Vector Machine
28%
False Negative Rate
28%
Medicine and Dentistry
False Negative Result
100%
Visual Attention
50%