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Computer Science
Deep Learning Method
100%
Convolutional Neural Network
64%
Structure Tensor
45%
Learning Approach
43%
Support Vector Machine
41%
Threat Detection
41%
Instance Segmentation
40%
Image Segmentation
35%
Learning System
35%
Learning Framework
27%
Mean Average Precision
25%
Visual Impairment
25%
Machine Learning
24%
Annotation
23%
Artificial Intelligence
20%
Robotics
20%
Human Activity Recognition
20%
Feature Extraction
19%
Deep Learning Model
17%
Transfer Learning
16%
Vision Transformer
16%
Vertebral Column
16%
Attention (Machine Learning)
15%
Broad Learning System
15%
Knowledge Distillation
15%
Class Imbalance
14%
Computer Vision
13%
Contrastive Learning
12%
Classification Task
12%
Residual Neural Network
12%
Early Detection
12%
Autonomous System
11%
Segmentation Model
11%
Lesion Segmentation
10%
Self-Supervised Learning
10%
Security Screening
10%
Suspicious Object
10%
Security Personnel
10%
Internet-Of-Things
10%
COVID-19
10%
Imaging Modality
10%
Detection Accuracy
10%
image feature
10%
Training Data
9%
Transformer Model
9%
Extensive Training
9%
Recognition Performance
9%
Wavelet Transforms
9%
Few-Shot Learning
8%
Deep Transfer Learning
8%
Keyphrases
F1 Score
19%
Retinal Lesions
10%
Structure Tensor
10%
Macular Edema
10%
Catastrophic Forgetting
10%
Convolutional Neural Network
10%
Baggage
10%
Threat Classification
10%
Radiographic Data
10%
Visual Transformer
10%
Tomato Leaf Disease Detection
10%
Deep Learning
7%
Automated Detection
7%
Machine Learning Techniques
7%
Vision-Language Models
7%
Image Features
7%
Threat Detection
6%
Affinity Loss
6%
Class Imbalance
6%
Subretinal
6%
Optical Coherence Tomography Images
6%
Semi-supervised Segmentation
6%
Vision Transformer
6%
State-of-the-art Techniques
6%
Retinal Image Analysis
6%
Baggage Screening
6%
Retinal Diseases
6%
Loss Function
6%
Tensor-based
5%
Optical Coherence Tomography
5%
Content-based Image Retrieval
5%
Relay Switching
5%
Hyperdimensional Computing
5%
LM35
5%
Smart Security
5%
Audible Alert
5%
Signal Relay
5%
Immediate Notification
5%
Temperature Detection
5%
Retinal Disease Detection
5%
Bipolar Transistor
5%
Buzzer
5%
Congestion-aware Modelling
5%
Spectrum Allocation
5%
Underwater Imagery
5%
Multi-scale Convolution
5%
Disastrous Event
5%
Detection Transformer
5%
You Only Look Once Version 8 (YOLOv8)
5%
Ground Penetration Radar
5%
