DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection From Multimedia Images
Author:
Affiliation:
1. School of Computing, Clemson University, Clemson, SC, USA
2. Department of Agricultural Sciences, Clemson University, Clemson, SC, USA
3. School of Computing, Clemson University, Charleston, SC, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10268967.pdf?arnumber=10268967
Reference47 articles.
1. Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data
2. Enhancing flood impact analysis using interactive retrieval of social media images;barz;arXiv 1908 03361,2019
3. FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline
4. Working notes proceedings of the MediaEval 2017 workshop co-located with the conference and labs of the evaluation forum (clef 2017), Ireland, September 13–15, 2017;gravier;Proc CEUR Workshop,2017
5. Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey
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