Computer Science
Texture Segmentation
100%
Edge Detection
50%
Deep Neural Network
50%
Salient Object Detection
50%
Orthogonal Subspace
50%
Local Descriptor
50%
Optimization Problem
50%
Partial Differential Equation
37%
Training Data
37%
Edge Detector
25%
edge detection algorithm
25%
Neural Network
25%
Regularization Parameter
25%
Learning Experiences
25%
Minimizes Interference
25%
Strongest Result
25%
Network Structures
25%
segmented image
25%
Generalizability
12%
Medical Imaging
12%
Tracking Object
12%
Application Area
12%
Human Performance
12%
Existing Architecture
12%
Arbitrary Shape
12%
Convolutional Neural Network
12%
Segmentation Model
12%
Class Imbalance
12%
Keyphrases
Texture Segmentation
50%
Segmentation Loss
50%
Shape-dependent
25%
Scale Space
25%
Oriented Gradients
25%
Segmentation Accuracy
25%
Discrete Time Scales
25%
Learned Descriptors
25%
Learning Metrics
25%
Forward Edge
16%
BSDS500
16%
Poisson
12%
Accurate Segmentation
12%
Arbitrary Shape
12%
Mumford-Shah Energy
12%
Image Data
12%
Dense Descriptors
12%
New Descriptor
12%
Ranking Vector
10%
Experience Replay
10%
Vector Subspace
10%
Stiefel Manifold
10%
Engineering
Deep Neural Network
50%
Edge Detection
50%
Scale Space
50%
Texture Segmentation
25%
Feedforward
25%
Motion Segmentation
25%
Limitations
16%
Edge Detector
16%
