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Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad. (arXiv:2307.14527v2 [cs.CV] UPDATED)
cs.LG updates on arXiv.org arxiv.org
This paper details the challenges in applying two computer vision systems, an
EfficientDET supervised learning model and the unsupervised RX spectral
classifier, to 98.9 GB of drone imagery from the Wu-Murad wilderness search and
rescue (WSAR) effort in Japan and identifies 3 directions for future research.
There have been at least 19 proposed approaches and 3 datasets aimed at
locating missing persons in drone imagery, but only 3 approaches (2
unsupervised and 1 of an unknown structure) are referenced in …
arxiv challenges classifier computer computer vision drone japan paper patricia search supervised learning systems unsupervised vision