Disaster Response

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 51 papers with code (217 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones
  5 Jan 2022 4 repositories listed
  In the second approach, although DeepSORT only processes a quarter of all frames due to hardware and time limitations, our model with DeepSORT (42.
• xBD: A Dataset for Assessing Building Damage from Satellite Imagery
  21 Nov 2019 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  xBD is the largest building damage assessment dataset to date, containing 850, 736 building annotations across 45, 362 km\textsuperscript{2} of imagery.
• SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
  14 Apr 2020 3 repositories listed
  The dataset and challenge focus on mapping and building footprint extraction using a combination of these data sources.
• Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
  16 Dec 2024 2 repositories listed
  To address this limitation, we introduce DReSS (Decentrality Related Street-view and Satellite-view dataset), a novel dataset designed to evaluate cross-view geo-localization with a large geographic scope and diverse…
• Towards Geospatial Foundation Models via Continual Pretraining
  9 Feb 2023 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Geospatial technologies are becoming increasingly essential in our world for a wide range of applications, including agriculture, urban planning, and disaster response.
• Differential Attention for Multimodal Crisis Event Analysis
  7 Jul 2025 1 repository listed
  To further refine multimodal fusion, we employ Guided Cross Attention (Guided CA) and combine it with the Differential Attention mechanism to enhance feature alignment by emphasizing critical information while filtering…
• Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions
  22 Jun 2025 1 repository listed
  Cloud contamination significantly impairs the usability of optical satellite imagery, affecting critical applications such as environmental monitoring, disaster response, and land-use analysis.
• GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  30 May 2025 1 repository listed
  Classifying geospatial imagery remains a major bottleneck for applications such as disaster response and land-use monitoring-particularly in regions where annotated data is scarce or unavailable.
• VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
  28 May 2025 1 repository listed
  To address this gap, we present the Vehicles in the Middle East (VME) dataset, designed explicitly for vehicle detection in high-resolution satellite images from Middle Eastern countries.
• REOBench: Benchmarking Robustness of Earth Observation Foundation Models
  22 May 2025 1 repository listed
  To bridge this gap, we introduce REOBench, the first comprehensive benchmark for evaluating the robustness of Earth observation foundation models across six tasks and twelve types of image corruptions, including both…
• FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
  19 May 2025 1 repository listed
  Unmanned Aerial Vehicle (UAV) Vision-and-Language Navigation (VLN) is vital for applications such as disaster response, logistics delivery, and urban inspection.
• Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage Mapping
  8 May 2025 1 repository listed
  Accurate building damage assessment using bi-temporal multi-modal remote sensing images is essential for effective disaster response and recovery planning.
• Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
  28 Apr 2025 1 repository listed
  In particular, the local and global encoders extract information from the same input at different granularities.
• WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada
  17 Apr 2025 1 repository listed
  Rapid information access is vital during wildfires, yet traditional data sources are slow and costly.
• DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization
  15 Apr 2025 1 repository listed
  In fact, the determination of damage typology is crucial for response and recovery efforts.
• LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation
  25 Mar 2025 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  Agent-based simulation is crucial for modeling complex human behavior, yet traditional approaches require extensive domain knowledge and large datasets.
• Earthquake Response Analysis with AI
  14 Mar 2025 1 repository listed
  A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes.
• The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
  23 Feb 2025 1 repository listed
  By retaining partial diversity, systems can better explore novel strategies and cope with external shocks.
• Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product
  15 Jan 2025 1 repository listed
  As labeling SAR data is often prohibitively time-consuming, we train a self-supervised vision transformer - which requires no labels to train - on OPERA RTC-S1 data to estimate a per-pixel distribution from the set of…
• BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
  10 Jan 2025 1 repository listed
  In this paper, we present a BDA dataset using veRy-hIGH-resoluTion optical and SAR imagery (BRIGHT) to support AI-based all-weather disaster response.
• Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
  3 Dec 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  This technical report presents Prithvi-EO-2.
• Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
  26 Nov 2024 1 repository listed
  This study presents a proof-of-concept using MobileSAM, a lightweight, pre-trained segmentation model, onboard Unibap iX10-100 satellite hardware.
• Mapping Global Floods with 10 Years of Satellite Radar Data
  3 Nov 2024 1 repository listed
  In this study, we introduce a novel deep learning flood detection model that leverages the cloud-penetrating capabilities of Sentinel-1 Synthetic Aperture Radar (SAR) satellite imagery, enabling consistent flood extent…
• Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction
  31 Oct 2024 1 repository listed
  Human mobility prediction plays a critical role in applications such as disaster response, urban planning, and epidemic forecasting.
• Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization
  21 Oct 2024 1 repository listed
  This study highlights the need to enhance structures and include datasets for effective water segmentation.
• On the Generalizability of Foundation Models for Crop Type Mapping
  14 Sep 2024 1 repository listed
  Foundation models pre-trained using self-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, and image recognition.
• Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN
  13 Aug 2024 1 repository listed
  The second information is geolocation awareness, which means how people whereabouts are made available.
• Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift
  10 Jul 2024 1 repository listed
  We show that the spatial domain shift represents the most complex setting and that the impact of temporal shift on performance is more pronounced on change detection than on semantic segmentation, highlighting that it…
• EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
  11 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Astronaut photography, spanning six decades of human spaceflight, presents a unique Earth observations dataset with immense value for both scientific research and disaster response.
• BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
  21 Feb 2024 1 repository listed
  Within this context, this paper focus on the cloud segmentation from remote sensing imagery.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.