On the Tradeoff between Computation-Time and Learning-Accuracy in GAN-based Super-Resolution Deep Learning.
JooYong ShimJoongheon KimJong-Kook KimPublished in: ICOIN (2021)
Keyphrases
- deep learning
- super resolution
- high resolution
- low resolution
- unsupervised feature learning
- learning algorithm
- single image super resolution
- unsupervised learning
- single image
- machine learning
- motion estimation
- weakly supervised
- high resolution images
- co occurrence
- text classification
- data mining
- feature vectors
- viewpoint
- image patches
- sparse coding
- low resolution images
- multiscale
- super resolution reconstruction
- high quality
- deep architectures