Computer Science
Image Segmentation
83%
Robot
83%
Point Cloud
50%
Scene Understanding
50%
Convolutional Neural Network
50%
Automatic Annotation
50%
Computer Aided Design
50%
thermal image
50%
Speaker Identification
50%
Detection Method
50%
Residual Neural Network
33%
Annotation
33%
Industrial Environment
33%
Multimodal Approach
25%
Weather Condition
25%
Autonomous Vehicles
25%
Implementation Effort
25%
Training Requirement
25%
Connected Component
25%
Illumination Condition
25%
Receptive Field
25%
Default Parameter
25%
Sample Distribution
25%
Checkpointing
25%
Vision Systems
25%
Training Model
25%
Computer Vision
25%
Level Architecture
25%
Speaker Recognition
16%
Driven Approach
16%
Confidence Score
16%
Spectral Image
16%
Recognition Performance
16%
Human Robot Interaction
16%
Neural Network Architecture
16%
Learning Problem
16%
Segmentation Performance
16%
Speech Recognition
16%
Point Cloud Segmentation
16%
Navigation Task
16%
Conversational Agent
16%
Autonomous Navigation
16%
High Importance
16%
Benchmarking
16%
Image Classification
16%
Audio Recording
16%
Captured Image
16%
Decision-Making
16%
Classification Task
16%
Learning Scheme
16%
Keyphrases
Out-of-distribution Detection
100%
ResNet-18
50%
Annotation pipeline
50%
Egocentric Images
50%
3D Semantic Segmentation
50%
Autonomy Learning
50%
Automatic Annotation
50%
Soft Point
50%
Robotic Autonomy
50%
Road Detection
50%
Benthic Habitat Mapping
50%
Label Noise
50%
Multinet
33%
Natural Language Instruction
25%
Time-frequency Spectrogram
25%
Lightweight Model
25%
PointNet++
25%
Scan2CAD
25%
Semantic Classes
25%
Soft Labels
25%
Label Quality
25%
Vocal Features
25%
Point Cloud Segmentation
25%
Custom Dataset
25%
Annotation Scheme
25%
Point Cloud Sampling
25%
Forest Trail
16%
Inter-class Distance
16%
Loss Weighting
16%
Cross-dataset Generalization
16%
One-hot
16%
Visual Scene Understanding
16%
Affordance Learning
16%
Ordinal Labels
16%
Single Dataset
16%
Pixel Loss
16%
Robotic Navigation
16%
Minimal Labeling
16%
Pre-trained Weight
16%
Experimental Vehicle
16%
Unfavorable Weather
16%
RGB Color System
16%
Confidence Map
16%
Road Segmentation
16%
Multiple Annotators
16%
Underwater Remotely Operated Vehicles
16%
Pre-trained Features
16%
Habitat Assessment
16%
Safe Deployment
12%
Different Datasets
12%
