7 citations · 10 across the 4 of their papers we have counts for
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cs.CV2021★ 3 cited
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva, Matthew Purri, Matthew Leotta
Self-supervised learning aims to learn image feature representations without the usage of manually annotated labels. It is often used as a precursor step to obtain useful initial n…
cs.CV2021★ 7 cited
Towards Single Stage Weakly Supervised Semantic Segmentation
Peri Akiva, Kristin Dana
The costly process of obtaining semantic segmentation labels has driven research towards weakly supervised semantic segmentation (WSSS) methods, using only image-level, point, or b…