Computer Science
Baseline Model
5%
Computer Vision
5%
Dataset Object
11%
Deep Convolutional Neural Networks
11%
Deep Learning
16%
Degraded Image
6%
Depth Information
5%
Ensemble Learning
16%
Experimental Result
6%
Frequency Information
5%
Image Enhancement
16%
Image Processing Technique
5%
Image Segmentation
33%
Low Resolution Image
35%
Multitask Learning
16%
Network Architecture
5%
Neural Network Model
5%
Object Recognition
33%
Perceptual Quality
8%
Preprocessing
16%
Recognition Accuracy
5%
Recognition Performance
22%
Resolution Image
11%
Resolution Method
12%
RGB Image
11%
Segmentation Model
6%
Single-Image Super Resolution
8%
Spatial Resolution
5%
super resolution
100%
Surveillance Camera
16%
thermal image
16%
Training Pair
5%
Transfer Learning
16%
Keyphrases
Blur Kernel
5%
CaffeNet
5%
Convolutional Neural
5%
Deep Convolutional Neural Network (deep CNN)
8%
Depth Value
16%
Face Image Super-resolution
5%
FusionNet
11%
Image SR
8%
ImageNet
5%
JPEG Artifacts
5%
Light Enhancement
16%
Low-light Image
16%
Low-light Image Enhancement
16%
Multi-scale Convolutional Neural Network
16%
Noise Distribution
5%
NR-IQA
5%
Object Dataset
5%
Real-world Super-resolution
16%
Resolution Enhancement
16%
Single Image Super-resolution
5%
SotA
8%
Surface Normal
5%
Synthetic Blur
5%
Task Semantics
6%
Thermal Image Super-resolution
16%
Thermographic Imaging
8%
Transformed Self
16%
VGGNet
5%
Engineering
Face Image
16%
High Resolution
25%
Image Pair
16%
Image Processing
8%
Low Resolution Image
12%
Perceptual Quality
12%
Processing Technique
8%
Resolution Image
12%
RGB Image
8%
Spatial Resolution
8%