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Deep Learning Approaches for Flood Classification and Flood Aftermath Detection
2018
MediaEval Benchmarking Initiative for Multimedia Evaluation
This paper presents the method proposed by team UTAOS for MediaEval 2018 Multimedia Satellite Task: Emergency Response for Flooding Events. In the first challenge, we mainly rely on object and scene level features extracted through multiple deep models pre-trained on the ImageNet and Places datasets. The object and scene-level features are combined using early, late and double fusion techniques achieving an average F1-score of 60.59%, 63.58% and 65.03%, respectively. For the second challenge,
dblp:conf/mediaeval/SaidPARAOHC18
fatcat:76yg4psqszgm3cxu5wintcrtvu