Keyphrases
Maritime Data
50%
Detection Dataset
50%
Object Detector
50%
Maritime Object Detection
50%
CenterNet
50%
Adaptive Test
50%
Precise Annotation
50%
Faster R-CNN
50%
CNN-based
50%
Feature Extractor
50%
Algorithm Performance
25%
Small Media
25%
Vessel Detection
25%
R-FCN
25%
COCO Dataset
25%
Object Size
25%
Climatic Conditions
25%
EfficientDet
25%
Lighting Environment
25%
Object Detection Algorithm
25%
Maritime Vessels
25%
Three-state
25%
Operational Scenario
25%
Tool Comparison
25%
Competition Rules
25%
Vision Research
16%
Maritime Traffic Management
16%
Coastal Safety
16%
Semi-supervised Domain Adaptation
16%
Mean Average Precision
16%
ART Centre
16%
Computer Vision
16%
Maritime Object
16%
Deep Layer Aggregation
16%
Center-based
16%
Unsatisfactory Outcome
16%
InceptionResNetV2
12%
Background Variation
12%
Accuracy-based
12%
Vessel Type
12%
CSRT Tracker
12%
Floaters
12%
Large Object
12%
Microsoft
12%
Object Categories
12%
Domain-specific Datasets
12%
Scale Variation
12%
Occlusion
12%
Vehicle Testing
10%
Engineering
Extractor
100%
Detection Algorithm
75%
Limited Number
50%
Atmospheric Condition
50%
Scale Variation
50%
Unmanned Aerial Vehicle
50%
Climatic Condition
25%
Efficient Building
25%
Traffic Management
25%
Deep Layer
25%
Critical Situation
25%
Computervision
25%
Computer Science
Convolutional Neural Network
100%
Object Detector
50%
Annotation
50%
Object Detection Algorithm
41%
Box Performance
41%
Object Detection
25%
Object Category
25%
Algorithm Performance
16%
Small Category
16%
Traffic Management
16%
Mean Average Precision
16%
