Post-Disaster Damage Detection using Aerial Footage: Visual Question Answering (VQA) Case Study
Author:
Affiliation:
1. University of West Florida (UWF),Pensacola,FL,USA,32514
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10091955/10092198/10092229.pdf?arnumber=10092229
Reference18 articles.
1. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
2. Hierarchical question-image co-attention for visual question answering;lu;Advances in neural information processing systems,2016
3. Graph-Based Image Segmentation for Road Extraction from Post-Disaster Aerial Footage
4. Analysis of post-disaster damage detection using aerial footage from uwf campus after hurricane sally;de sa lowande;International Conference on Image Processing Computer Vision Pattern Recognition (IPCV’21),2021
5. Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering
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