Keyphrases
3D Object Detection
100%
Data Importance
100%
Loss Reweighting
100%
Deep Learning Methods
33%
Performance Improvement
33%
Sampling Methods
33%
Feature Extraction
33%
Selection Strategy
33%
Detection Performance
33%
Specimen Preparation
33%
Regression Loss
33%
LiDAR
33%
Model Accuracy
33%
Design Features
33%
Driving Assistance System
33%
Loss Function
33%
Fine Features
33%
Model Design
33%
Point Cloud
33%
Point Cloud Density
33%
Incomplete Data
33%
Object Occlusion
33%
Classification Loss
33%
AI Technology
33%
Sample Selection
33%
Model Driven Architecture
33%
KITTI Dataset
33%
Intelligent Driving
33%
Cloud Variation
33%
Informative Sample
33%
Sparse Point Cloud
33%
Sampling Variation
33%
Sample Importance
33%
Computer Science
Point Cloud
100%
3D Object Detection
100%
Experimental Result
33%
Detection Performance
33%
Model Accuracy
33%
Model Architecture
33%
Reflection Model
33%
Artificial Intelligence
33%
Deep Learning Method
33%
Feature Extraction
33%
Engineering
Point Cloud
100%
3D Object Detection
100%
Experimental Result
33%
Feature Extraction
33%
Detection Performance
33%
Design Feature
33%
Loss Function
33%
Artificial Intelligence
33%
Deep Learning Method
33%
Chemical Engineering
Artificial Intelligence
100%
Deep Learning Method
100%