(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment.
Seyed Mehdi AyyoubzadehAli RoyatPublished in: CoRR (2021)
Keyphrases
- loss function
- image quality assessment
- learning to rank
- neural network
- perceptual quality
- structural similarity
- quality assessment
- human visual system
- image quality
- human perception
- pairwise
- image database
- natural images
- image quality metrics
- support vector
- correlation coefficient
- quality evaluation
- reduced reference
- quality metrics
- visual perception
- web search
- back propagation
- evaluation measures
- quality measures
- ranking algorithm
- saliency map
- evaluation metrics
- visual attention
- natural scenes
- ranking functions
- ranked list
- medical images
- kullback leibler divergence
- higher order
- object recognition
- image segmentation