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Found 5 papers, 1 papers with code
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
This improves the model's interpretability as it enables the latent space of the model to associate urban concepts with continuous intervals of socioeconomic outcomes.
Cross-Modal Learning of Housing Quality in Amsterdam
In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery.
Time Series Analysis of Urban Liveability
In this paper we explore deep learning models to monitor longitudinal liveability changes in Dutch cities at the neighbourhood level.
Geo-Information Harvesting from Social Media Data
In this article, we address key aspects in the field, including data availability, analysis-ready data preparation and data management, geo-information extraction from social media text messages and images, and the fusion of social media and remote sensing data.
Detecting Unsigned Physical Road Incidents from Driver-View Images
In this paper we propose a system based on an off-the-shelf deep neural network architecture that is able to detect and recognize types of unsigned (non-placarded, such as traffic signs), physical (visible in images) road incidents.
