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Damage Assessment from Social Media Imagery Data During Disasters
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/s10710-017-9314-zopenalex-snapshot
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
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The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
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Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographs
inferredcites →https://doi.org/10.1080/01431160601094492openalex-snapshot
Rapid damage assessment of built‐up structures using VHR satellite data in tsunami‐affected areas
inferredcites →https://doi.org/10.1089/big.2014.0064openalex-snapshot
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2013.423openalex-snapshot
Bottom-Up Segmentation for Top-Down Detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iccv.2007.4409066openalex-snapshot
Image Classification using Random Forests and Ferns
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1145/2740908.2741722openalex-snapshot
A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages
inferredcites →https://doi.org/10.1145/2771588openalex-snapshot
Processing Social Media Messages in Mass Emergency
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14950openalex-snapshot
Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks
inferredcites →https://doi.org/10.3389/frobt.2016.00054openalex-snapshot
Image Classification to Support Emergency Situation Awareness
inferredcites →https://doi.org/10.48550/arxiv.1312.6229openalex-snapshot
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1512.00567openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.48550/arxiv.1602.05388openalex-snapshot
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages
inferredcites →https://doi.org/10.48550/arxiv.1704.02602openalex-snapshot
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises
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Application and prospect of a high-resolution remote sensing and geo-information system in estimating earthquake casualties
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UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Oversampling Image Datasets for Better Deep Learning Classification of Natural Disaster Damage Levels
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Disaster Severity Prediction from Twitter Images
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Role of Social Media Imagery in Disaster Informatics
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Multi-Channel Convolutional Neural Network for the Identification of Eyewitness Tweets of Disaster
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Analysis of Multimodal Social Media Data Utilizing VIT Base 16 and GPT-2 for Disaster Response
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Prediction of Tsunami Event at Early Stage Using Ensemble Bagging Random Forest Classifier
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Low-Latency Energy-Efficient Cyber-Physical Disaster System Using Edge Deep Learning
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Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques
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Towards a Collection Data Approach to Crisis Situation Based on Ontologies
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Multi-temporal deep learning-based social media analysis for disaster relief
inferred← citeshttps://doi.org/10.1145/3543507.3583871openalex-snapshot
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response
inferred← citeshttps://doi.org/10.1145/3555179openalex-snapshot
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment
inferred← citeshttps://doi.org/10.1145/3555536openalex-snapshot
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing
inferred← citeshttps://doi.org/10.1145/3584871.3584905openalex-snapshot
Artificial Intelligence of Things (AIoT) for Disaster Monitoring using Wireless Mesh Network
inferred← citeshttps://doi.org/10.1145/3675669.3675696openalex-snapshot
Improving Social Media Geolocation for Disaster Response by Using Text From Images and ChatGPT
inferred← citeshttps://doi.org/10.1177/87552930251335649openalex-snapshot
Enhancing the fidelity of social media image data sets in earthquake damage assessment
inferred← citeshttps://doi.org/10.1186/s40537-021-00471-5openalex-snapshot
Automatic analysis of social media images to identify disaster type and infer appropriate emergency response
inferred← citeshttps://doi.org/10.11922/11-6035.noda.2023.0005.zhopenalex-snapshot
A dataset of semantic segmentation in earthquake disaster detection based on social media images
inferred← citeshttps://doi.org/10.12794/metadc1873789openalex-snapshot
Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos
inferred← citeshttps://doi.org/10.12794/metadc2048642openalex-snapshot
Integrating Multiple Deep Learning Models for Disaster Description in Low-Altitude Videos
inferred← citeshttps://doi.org/10.13016/m2aiqb-dezoopenalex-snapshot
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150731openalex-snapshot
Oversampling Social Media-Sourced Image Datasets for Better Deep Learning Classification of Natural Disaster Damage Levels
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.01606101openalex-snapshot
Artificial Intelligence in Disaster Risk Management: A Scientometric Mapping of Evolution, Collaboration, and Emerging Trends (2003–2025)
inferred← citeshttps://doi.org/10.15174/au.2023.3891openalex-snapshot
Ventajas y desventajas del uso de la Inteligencia Artificial en el ciclo de las políticas públicas: análisis de casos internacionales
inferred← citeshttps://doi.org/10.1587/essfr.13.4_301openalex-snapshot
Utilization of Social Media at the Time of Disaster
inferred← citeshttps://doi.org/10.1609/aaai.v34i03.5658openalex-snapshot
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention
inferred← citeshttps://doi.org/10.1609/icwsm.v12i1.14983openalex-snapshot
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
inferred← citeshttps://doi.org/10.19101/ijatee.2023.10102095openalex-snapshot
Credibility assessment of social media images shared during disasters
inferred← citeshttps://doi.org/10.21203/rs.3.rs-964756/v1openalex-snapshot
Detecting Damage Building Using Real-Time Crowdsourced Images And Transfer Learning
inferred← citeshttps://doi.org/10.2139/ssrn.4888696openalex-snapshot
Collaborating with Journalists and Ai: Leveraging Social Media Images for Enhanced Disaster Resilience and Recovery
inferred← citeshttps://doi.org/10.2139/ssrn.5400380openalex-snapshot
Rapid Damage Estimation Through Social Media Content with Geolocation Using Natural Language Processing: A Study of Historical Texas Tropical Storms
inferred← citeshttps://doi.org/10.2174/9798898811389125010007openalex-snapshot
Recent Advances in Techniques and Applications for Machine Learning in Disaster Management
inferred← citeshttps://doi.org/10.24963/ijcai.2023/701openalex-snapshot
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
inferred← citeshttps://doi.org/10.2514/6.2022-0788openalex-snapshot
Towards UAV-Based Post-Disaster Damage Detection and Localization: Hurricane Sally Case Study
inferred← citeshttps://doi.org/10.30785/mbud.1333736openalex-snapshot
A Review of Using Deep Learning Technology in the Built Environment of Disaster Management Phases
inferred← citeshttps://doi.org/10.3103/s1060992x25600764openalex-snapshot
Attention-Residual Multi-Modal Fusion Framework for Crisis Categorization in Social Media Feeds
inferred← citeshttps://doi.org/10.3233/idt-220310openalex-snapshot
Disaster tweet classification: A majority voting approach using machine learning algorithms
inferred← citeshttps://doi.org/10.3389/feart.2023.990930openalex-snapshot
Towards fine-grained object-level damage assessment during disasters
inferred← citeshttps://doi.org/10.3390/app11094129openalex-snapshot
A Novel Deep Learning Based Model for Tropical Intensity Estimation and Post-Disaster Management of Hurricanes
inferred← citeshttps://doi.org/10.3390/app11209737openalex-snapshot
Earthquake Damage Assessment in Three Spatial Scale Using Naive Bayes, SVM, and Deep Learning Algorithms
inferred← citeshttps://doi.org/10.3390/app15010465openalex-snapshot
Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui
inferred← citeshttps://doi.org/10.3390/electronics11091448openalex-snapshot
Transfer Learning-Based Automatic Hurricane Damage Detection Using Satellite Images
inferred← citeshttps://doi.org/10.3390/fire7040133openalex-snapshot
Building a Vision Transformer-Based Damage Severity Classifier with Ground-Level Imagery of Homes Affected by California Wildfires
inferred← citeshttps://doi.org/10.3390/ijgi12060245openalex-snapshot
Efficient Classification of Imbalanced Natural Disasters Data Using Generative Adversarial Networks for Data Augmentation
inferred← citeshttps://doi.org/10.3390/info16060434openalex-snapshot
Multihead Average Pseudo-Margin Learning for Disaster Tweet Classification
inferred← citeshttps://doi.org/10.3390/make4020020openalex-snapshot
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
inferred← citeshttps://doi.org/10.3390/rs14051269openalex-snapshot
Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China
inferred← citeshttps://doi.org/10.3390/rs18050714openalex-snapshot
FADS-Fusion: A Post-Flood Assessment Using Dempster–Shafer Fusion for Segmentation and Uncertainty Mapping
inferred← citeshttps://doi.org/10.3390/s21082648openalex-snapshot
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/s23073767openalex-snapshot
Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach
inferred← citeshttps://doi.org/10.3390/s24185889openalex-snapshot
Multimodal Social Sensing for the Spatio-Temporal Evolution and Assessment of Nature Disasters
inferred← citeshttps://doi.org/10.3390/su14095536openalex-snapshot
A Multimodal Data Analysis Approach to Social Media during Natural Disasters
inferred← citeshttps://doi.org/10.3390/su151511910openalex-snapshot
RETRACTED: Digital Twin Smart Cities for Disaster Risk Management: A Review of Evolving Concepts
inferred← citeshttps://doi.org/10.3390/urbansci6030062openalex-snapshot
Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/w14132091openalex-snapshot
Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review
inferred← citeshttps://doi.org/10.4018/979-8-3693-2280-2.ch005openalex-snapshot
Future Trends and Innovations in Natural Disaster Detection Using AI and ML
inferred← citeshttps://doi.org/10.48084/etasr.8483openalex-snapshot
Human Remains Detection in Natural Disasters using YOLO: A Deep Learning Approach
inferred← citeshttps://doi.org/10.48550/arxiv.2004.11838openalex-snapshot
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
inferred← citeshttps://doi.org/10.48550/arxiv.2104.04184openalex-snapshot
Robust Training of Social Media Image Classification Models for Rapid Disaster Response
inferred← citeshttps://doi.org/10.48550/arxiv.2202.12361openalex-snapshot
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
inferred← citeshttps://doi.org/10.5194/essd-17-6217-2025openalex-snapshot
Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-3-w8-331-2019openalex-snapshot
CROWD4EMS: A CROWDSOURCING PLATFORM FOR GATHERING AND GEOLOCATING SOCIAL MEDIA CONTENT IN DISASTER RESPONSE
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b3-2020-1237-2020openalex-snapshot
SOCIAL MEDIA DATA PROCESSING AND ANALYSIS BY MEANS OF MACHINE LEARNING FOR RAPID DETECTION, ASSESSMENT AND MAPPING THE IMPACT OF DISASTERS
inferred← citeshttps://doi.org/10.5194/nhess-21-1431-2021openalex-snapshot
Opportunities and risks of disaster data from social media: a systematic review of incident information
inferred← citeshttps://doi.org/10.5194/nhess-21-1825-2021openalex-snapshot
Review article: Detection of actionable tweets in crisis events
inferred← citeshttps://doi.org/10.5194/nhess-26-215-2026openalex-snapshot
Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights
inferred← citeshttps://doi.org/10.59297/sdsm9194openalex-snapshot
CrisisViT: A Robust Vision Transformer for Crisis Image Classification
inferred← citeshttps://doi.org/10.59324/ejaset.2026.4(3).16openalex-snapshot
Understanding Fusion Robustness Under Modality Disagreement in Crisis-Tweet Informativeness Classification
inferred← citeshttps://doi.org/10.7717/peerj-cs.1859openalex-snapshot
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model
inferred← citeshttps://doi.org/10.7717/peerj-cs.2262openalex-snapshot
Multi-modal deep learning framework for damage detection in social media posts
inferred← citeshttps://doi.org/10.7910/dvn/qxt5qlopenalex-snapshot
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
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