Keyphrases
Stereoscopic Video
100%
Stereo Video
50%
Stereoscopic Video Quality Assessment
46%
3D Convolutional Neural Network (3D CNN)
41%
Video Deblurring
34%
Stereo
31%
Deblurring
29%
Parallax Attention
29%
Transformer
27%
Video Quality Assessment
23%
Video Retargeting
23%
Attention Module
21%
Cross-view
17%
Video Frames
16%
Deep Learning Methods
16%
Attention Mechanism
16%
State-of-the-art Techniques
14%
New Dataset
14%
No-reference
13%
Spatial Features
13%
Salient Object
13%
Retargeting
13%
Convolutional Neural Network
13%
Spatiotemporal
12%
View Integration
11%
Mining Industry
11%
Saliency Aware
11%
Unsupervised Image Segmentation
11%
Real-time Object Detection
11%
Depthwise Separable Convolution
11%
Singular Value Decomposition
11%
Measurement Basis
11%
Stereo Video Retargeting
11%
Efficient Object Detection
11%
3D Residual Network
11%
Cucumber Diseases
11%
Vision-based
11%
Three-stream
11%
Image Steganalysis
11%
Disease Classification
11%
Cucumber Disease Recognition
11%
Noise Type
11%
Deep Convolutional Network
11%
Image Style Transfer
11%
Video Super-resolution
11%
3D Features
11%
Three-dimensional (3D)
11%
Object Detection Algorithm
11%
Segmentation Model
11%
Objective Assessment
11%
Computer Science
3D Convolutional Neural Networks
37%
Experimental Result
37%
Video Quality Assessment
34%
View Information
30%
Deep Learning Method
29%
Attention (Machine Learning)
27%
Convolutional Neural Network
14%
Residual Neural Network
14%
Object Detection
11%
Consecutive Frame
11%
Temporal Information
11%
Steganalysis
11%
Convolutional Network
11%
Steganography
11%
Convolutional Layer
11%
Stereoscopic View
11%
Modern Technology
11%
YOLOv5
11%
Objective Function
11%
3-Dimensional Convolutional Neural Networks
11%
Expert System
11%
super resolution
11%
Segmentation Model
11%
Image Segmentation
11%
Successive Frame
11%
Data Locality
11%
Spatial Information
11%
Display Devices
11%
Computer Vision
11%
Field Research
11%
Vision Transformer
11%
Quality Assessment
11%
Art Performance
11%
Temporal Feature
8%
Transfer Learning
8%
Desired Aspect Ratio
5%
Data Hiding
5%
Unsupervised Manner
5%
stereo correspondence
5%
Detection Accuracy
5%
Fundamental Question
5%
Noise Addition
5%
Spatial Domain
5%
False Positive Rate
5%
U-Net
5%
Emerging Technology
5%
K-Means Clustering
5%
False Negative
5%
Image Analysis
5%
Evaluation Metric
5%
