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PP-LinkNet: Improving Semantic Segmentation of High Resolution Satellite Imagery with Multi-stage Training
In this paper, we propose a two-stage transfer learning technique to improve robustness of semantic segmentation for satellite images that leverages noisy pseudo ground truth masks obtained automatically (without human labor) from crowd-sourced OpenStreetMap (OSM) data.
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study
In this paper, we analyze drivers' and passengers' locations at the time of booking request in the context of drivers' pick-up performances.
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