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20242026
most citedSinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model

6 citations · 9 across the 6 of their papers we have counts for

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cs.CV2026

Evaluating Semantic and Spatial Guidance for Foundation Model Segmentation of Small-Scale PV in Remote Sensing Imagery

Roni Blushtein-Livnon, Tal Svoray, Osher Rafaeli +4

Spatio-temporal PV data are essential for understanding adoption processes in off-grid regions, yet such data remain largely unavailable. Automated segmentation of remote sensing (…

cs.CV2026

Test-Time Adaptation for Height Completion via Self-Supervised ViT Features and Monocular Foundation Models

Osher Rafaeli, Tal Svoray, Ariel Nahlieli

Accurate digital surface models (DSMs) are essential for many geospatial applications, including urban monitoring, environmental analyses, infrastructure management, and change det…