Computer Science
Image Segmentation
100%
super resolution
100%
Concept Drift
75%
Object Detection
75%
Weather Condition
75%
Security Monitoring
50%
Robot
50%
thermal image
50%
Object Recognition
50%
Object Detector
50%
Multitask Learning
50%
Human-Robot Interaction
50%
Range Interaction
50%
Training Data
30%
Design Challenge
25%
Future Direction
25%
Imaging Systems
25%
Annotation
25%
Recognition Algorithm
25%
False Positive
25%
YOLOv5
25%
Miss Rate
25%
Electrocardiography
25%
Hard Loss Function
25%
Detection Performance
25%
Low Resolution Image
22%
Segmentation Model
20%
segmentation accuracy
10%
Segmentation Task
10%
Experimental Result
10%
Single-Image Super Resolution
5%
Image Quality
5%
Perceptual Image
5%
Prediction Time
5%
Domain Adaptation
5%
Training Pair
5%
Degradation Process
5%
Keyphrases
Siamese Neural Network
50%
Weather-aware
50%
Visual Transformer
50%
Inductive Bias
50%
Dataset Design
50%
Benthic Habitat Mapping
50%
Day-night Cycle
25%
Thermal Drift
25%
3D ConvNets
25%
Long-term Temporal Dynamics
25%
Video Security
25%
Bounding Box Annotation
25%
Task Semantics
20%
Object Recognition Algorithm
16%
Deformable DETR
16%
Subjective Trust
16%
Situational Risk Factors
16%
Observable Behaviors
16%
Behavior Trust
16%
Multiple Annotators
16%
Underwater Remotely Operated Vehicles
16%
Pre-trained Features
16%
Habitat Assessment
16%
Correlational Relationships
12%
Long-term Patterns
12%
Quadruplet Loss
12%
Triplet Loss
12%
High-resolution Network
10%
Semantic Segmentation Network
10%
Bicubic
10%
Perceptual Image Quality
10%
Semantic Segmentation Model
10%
Skin Color Changes
8%
Lighting Condition Change
8%
Voluntary Motion
8%
Engineering
Heartbeat Rate
50%
Observables
50%
Input Level
50%
Dimensionality
50%
Limitations
50%
Loss Function
50%
Temporal Dimension
50%
Object Recognition
50%
Robot
50%
Computational Complexity
50%
Thermal Sensor
25%
Intermediate Layer
25%
Computervision
16%
Hard Loss Function
16%
Heart Beat
8%
Naked Eye
8%
Color Change
8%
Input Multiple
8%
Lighting Condition
8%
