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