Learning from Simulated and Unsupervised Images through Adversarial Training.
Ashish ShrivastavaTomas PfisterOncel TuzelJoshua SusskindWenda WangRussell WebbPublished in: CVPR (2017)
Keyphrases
- supervised learning
- unsupervised learning
- image database
- image data
- object recognition
- image analysis
- online learning
- learning tasks
- ground truth
- input image
- learning algorithm
- image features
- learning process
- multiscale
- training process
- three dimensional
- region of interest
- deep architectures
- image annotation
- weakly supervised
- feedforward neural networks
- machine learning
- training examples
- image classification
- image matching
- image set
- training samples
- denoising
- image registration
- structured prediction
- linear predictors
- active learning