3 papers
eess.IV2023
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing
Yuval Becker, Raz Z. Nossek, Tomer Peleg
Image demosaicing is an important step in the image processing pipeline for digital cameras. In data centric approaches, such as deep learning, the distribution of the dataset used…
cs.CV2023
Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains
Alexandra Dana, Nadav Carmel, Amit Shomer +2
Transferring the absolute depth prediction capabilities of an estimator to a new domain is a task with significant real-world applications. This task is specifically challenging wh…
cs.CV2021
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
Alexandra Dana, Maor Shutman, Yotam Perlitz +3
General object detectors use powerful backbones that uniformly extract features from images for enabling detection of a vast amount of object types. However, utilization of such ba…