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Found 4 papers, 1 papers with code
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction
In addition, the TFNet design is coupled with a novel methodology of incorporating neighborhood information at the tile boundaries during the training process.
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
In the current work, we introduce a consistency-guided bottleneck in an image reconstruction-based pipeline that leverages landmark consistency, a measure of compatibility score with the pseudo-ground truth to generate adaptive heatmaps.
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population density statistics.
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management.
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