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Computer Science
Object Detection
100%
Deep Learning Method
86%
Convolutional Neural Network
53%
Embedded System
47%
Learning Object
40%
Model Compression
40%
Image Segmentation
26%
Neural Network Architecture
26%
Mean Average Precision
22%
Vehicle Detection
20%
Graphics Processing Unit
17%
Deep Neural Network
16%
Detection Accuracy
16%
Autonomous Driving
16%
Training Model
15%
Detection Method
13%
Deep Learning Technique
13%
Power Efficient
13%
Computer Hardware
13%
Computational Complexity
13%
Segmentation Model
13%
Floating Point
13%
Line Detection
13%
Neural Network
13%
Time Processing
13%
Dark Channel Prior
13%
Advanced Driver Assistance System
13%
Landmark Detection
13%
Artificial Intelligence
13%
Grand Challenge
13%
Training Image
11%
Network Structure
10%
Model Development
8%
Attention Score
6%
Multiple Region
6%
Subdivision Algorithm
6%
Processing Speed
6%
Classification Method
6%
Miss Rate
6%
False Positive
6%
Fixed Point
6%
Estimation Method
6%
Low Power Consumption
6%
Point Cloud
6%
Embedded Platform
6%
False Positive Rate
6%
Video Processing
6%
Monitoring System
6%
Training Sample
6%
Detection Rate
6%
Keyphrases
Embedded Systems
26%
Road Marking Detection
13%
Auxiliary Classifier
13%
Space Attention
13%
One-stage Object Detection
13%
Model Compression
13%
Embedded AI
13%
Around View
13%
Intelligent Vision Systems
13%
Asian Countries
13%
Deep Learning Semantic Segmentation
13%
Traffic Scene
13%
Fusion Technology
13%
Hybrid Point
13%
Deep Neural Network Design
13%
Embedded Deep Learning
13%
Object Semantics
13%
Channel Importance
13%
Multi-object Detection
13%
Object Detection Algorithm
13%
Deep Learning Detection
13%
Dehazing Algorithm
13%
Stop Line Detection
13%
Stop Line
13%
Low Power
13%
Deep Learning Methods
13%
Video Dehazing
13%
Car Safety
13%
Power Efficient
13%
Model Competition
13%
Advanced Driver Assistance Systems
13%
Straight-through Estimator
13%
Facial Landmark Detection
13%
Target-aware
13%
Annotated Images
11%
CNN Classifier
8%
Scooter
8%
Line Detector
8%
Convolutional Neural Network Architecture
8%
Proposed Design
8%
Frames per Second
8%
Autonomous Driving
8%
MS COCO
6%
Random Weights
6%
Network Structure Learning
6%
Complex Network Structure
6%
Jetson TX1
6%
Renesas
6%
Airlight Estimation
6%
ADAS Systems
6%
Engineering
Deep Learning Method
42%
Convolutional Neural Network
35%
Fixed Point
22%
Final Competition
20%
Road
20%
Computational Complexity
16%
Floating Point
14%
Tracking (Position)
13%
Sensor Fusion
13%
Radar Systems
13%
Network Model
13%
Deep Neural Network
13%
Artificial Intelligence
13%
Detection Algorithm
13%
Learning Technique
13%
Realization
13%
Camera View
13%
Advanced Driver Assistance System
13%
Design Model
13%
Final Stage
13%
Optical Radar
13%
Review Paper
11%
Neural Network Architecture
8%
Low Power Consumption
8%
Hardware Accelerator
8%
Monitoring System
6%
Lookup Table
6%
Double Line
6%
Video Processing
6%
One Dimensional
6%
Unmanned Aerial Vehicle (Space Vehicle)
6%
Object Tracking Algorithm
6%
Target Model
5%
