3 papers
cs.CV2022
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez +6
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are s…
cs.LG2021
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
Kiri Wagstaff, Steven Lu, Emily Dunkel +8
The NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find images of interest, we have developed and deployed content-based c…
cs.LG2018
Interpretable Discovery in Large Image Data Sets
Kiri L. Wagstaff, Jake Lee
Automated detection of new, interesting, unusual, or anomalous images within large data sets has great value for applications from surveillance (e.g., airport security) to science…