Search Results for author:
Found 4 papers, 1 papers with code
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation
We present MVMO (Multi-View, Multi-Object dataset): a synthetic dataset of 116, 000 scenes containing randomly placed objects of 10 distinct classes and captured from 25 camera locations in the upper hemisphere.
Self-supervised blur detection from synthetically blurred scenes
Blur detection aims at segmenting the blurred areas of a given image.
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Hyperspectral signal reconstruction aims at recovering the original spectral input that produced a certain trichromatic (RGB) response from a capturing device or observer.
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Specifically, we apply the \emph{shades of gray} color constancy technique to color-normalize the entire training set of images, while retaining the estimated illuminants.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
