Computer Science
Anomaly Detection
100%
Generative Adversarial Networks
83%
Printed Circuit Board
50%
Generative Model
50%
Models
33%
Classes
33%
Industrial Sector
25%
Classifier
25%
Medical Domain
25%
Critical Application
25%
False Negative
16%
Image Processing Algorithm
16%
Learning Progress
16%
Learning Community
16%
Reconstructed Image
16%
Unsupervised Learning
16%
Autoencoder
16%
Real World
16%
Data Availability
16%
Average Accuracy
16%
Traditional Method
16%
Industry 4.0
16%
Deep Learning
16%
Procedures
16%
Machine Learning
16%
Primary Objective
12%
Reconstructed Image
12%
Learning Technique
12%
False Positive Rate
12%
Deep Representation Learning
12%
Visual Inspection
12%
Data Distribution
12%
Earth and Planetary Sciences
Detection
100%
Image
66%
Printed Circuit
60%
Circuit Board
60%
Network
50%
Anomaly
50%
Industry
40%
Learning
23%
Data Set
23%
Training
20%
Machine Learning
20%
Image Processing
16%
Community
16%
Progress
16%
Inference
16%
Attention
16%
Size
16%
Show
16%
Time
16%
Waste
16%
Support
16%
Algorithms
16%
Approach
13%
Computer Vision
12%
Constraint
10%
Train
6%
Difference
6%
Input
6%
Accuracy
6%
