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Found 8 papers, 5 papers with code
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Observation (EO) images.
Saliency for free: Saliency prediction as a side-effect of object recognition
Saliency is the perceptual capacity of our visual system to focus our attention (i. e. gaze) on relevant objects.
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Most of the saliency methods are evaluated on their ability to generate saliency maps, and not on their functionality in a complete vision pipeline, like for instance, image classification.
Disentanglement of Color and Shape Representations for Continual Learning
We hypothesize that disentangled feature representations suffer less from catastrophic forgetting.
MineGAN: effective knowledge transfer from GANs to target domains with few images
We propose a novel knowledge transfer method for generative models based on mining the knowledge that is most beneficial to a specific target domain, either from a single or multiple pretrained GANs.
SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling
A benchmark of saliency models performance with a synthetic image dataset is provided.
A Neurodynamic model of Saliency prediction in V1
Lateral connections in the primary visual cortex (V1) have long been hypothesized to be responsible of several visual processing mechanisms such as brightness induction, chromatic induction, visual discomfort and bottom-up visual attention (also named saliency).
Psychophysical evaluation of individual low-level feature influences on visual attention
In this study we provide the analysis of eye movement behavior elicited by low-level feature distinctiveness with a dataset of synthetically-generated image patterns.
