Humanitarian
36 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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HumSet
Most implemented papers
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
Multimedia content in social media platforms provides significant information during disaster events.
Estimating Displaced Populations from Overhead
We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery.
Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events.
Predicting Landsat Reflectance with Deep Generative Fusion
Cervest/ds-generative-reflectance-fusion
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Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage.
Heuristics for optimizing 3D mapping missions over swarm-powered ad hoc clouds
Drones have been getting more and more popular in many economy sectors.
Congolese Swahili Machine Translation for Humanitarian Response
In this paper we describe our efforts to make a bidirectional Congolese Swahili (SWC) to French (FRA) neural machine translation system with the motivation of improving humanitarian translation workflows.
Learning future terrorist targets through temporal meta-graphs
gcampede/terrorism-metagraphs
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Using real-world data on attacks occurred in Afghanistan and Iraq from 2001 to 2018, we propose the use of temporal meta-graphs and deep learning to forecast future terrorist targets.
SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
Access to high resolution satellite imagery has dramatically increased in recent years as several new constellations have entered service.
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
firojalam/medic
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This is the first dataset of its kind: social media images, disaster response, and multi-task learning research.
UCD-CS at TREC 2021 Incident Streams Track
wangcongcong123/crisis-mtl
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In recent years, the task of mining important information from social media posts during crises has become a focus of research for the purposes of assisting emergency response (ES).
