Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data

We present a simple and efficient method to leverage emerging text-to-image generative models in creating large-scale synthetic supervision for the task of damage assessment from aerial images. While significant recent advances have resulted in improved techniques for damage assessment using aerial...

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Bibliographische Detailangaben

Hauptverfasser:	Kalluri, Tarun, Lee, Jihyeon, Sohn, Kihyuk, Singla, Sahil, Chandraker, Manmohan, Xu, Joseph, Liu, Jeremiah
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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