6 papers
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 (…
From Expansion to Consolidation: Socio-Spatial Contagion Dynamics in Off-Grid PV Adoption
Roni Blushtein-Livnon, Tal Svoray, Itay Fischhendler +2
In traditional rural societies, where social ties are embedded in physical space, the diffusion of emerging technologies may be amplified through socio-spatial contagion (SSC). Suc…
On the Effectiveness of Textual Prompting with Lightweight Fine-Tuning for SAM3 Remote Sensing Segmentation
Roni Blushtein-Livnon, Osher Rafaeli, David Ioffe +3
Remote sensing (RS) image segmentation is constrained by the limited availability of annotated data and a gap between overhead imagery and natural images used to train foundational…
Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities
Roni Blushtein-Livnon, Tal Svoray, Itai Ficshhendler +4
Understanding the dynamics of renewable energy adoption is essential for designing strategies that accelerate its spread - an urgent priority for advancing climate goals and improv…
Prompt-Based Segmentation at Multiple Resolutions and Lighting Conditions using Segment Anything Model 2
Osher Rafaeli, Tal Svoray, Roni Blushtein-Livnon +1
This paper provides insights on the effectiveness of the zero shot, prompt-based Segment Anything Model (SAM) and its updated versions, SAM 2 and SAM 2.1, along with the non-prompt…
Performance of Human Annotators in Object Detection and Segmentation of Remotely Sensed Data
Roni Blushtein-Livnon, Tal Svoray, Michael Dorman
This study introduces a laboratory experiment designed to assess the influence of annotation strategies, levels of imbalanced data, and prior experience, on the performance of huma…