MO2.L4.3
UNREALFIRE: A SYNTHETIC DATASET CREATION PIPELINE FOR ANNOTATED FIRE IMAGERY IN UNREAL ENGINE
Evangelos Spatharis, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
Session:
MO2.L4: Bridging the Gap: Advanced Data Processing for Natural Disaster Management - Integrating Visual and Non-Visual Insights Lecture
Track:
Satellite Workshops
Location:
Dena'ina: Kahtnu 2
Presentation Time:
Mon, 15 Sep, 10:18 - 10:27 Anchorage Time (UTC -9)
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Session MO2.L4
MO2.L4.1: UNSUPERVISED SEGMENTATION OF FOREST FIRE IMAGES VIA CONTEXT-AWARE CONVOLUTIONAL AUTOENCODER AND CLUSTER MASK ENHANCER
Jayarama Surya, Lakshman Sandeep, Athira Nambiar, SRM Institute of Science and Technology, India
MO2.L4.2: Sparse Bayesian Learning for Distributed 2D Smoke Source Localization
Dmitriy Shutin, Victor Scott Prieto Ruiz, Patrick Hinsen, German Aerospace Center (DLR), Germany
MO2.L4.3: UNREALFIRE: A SYNTHETIC DATASET CREATION PIPELINE FOR ANNOTATED FIRE IMAGERY IN UNREAL ENGINE
Evangelos Spatharis, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
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