Computer vision-based neural networks for radioisotope identification in urban environments

arXiv:2607. 00270v1 Announce Type: cross Abstract: Algorithm development for radioisotope identification in mobile urban search scenarios face significant challenges from non-uniform backgrounds, momentary source encounters, and severe class imbalance between rare threat signatures and background measurements.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

• llms
• computer-vision
• benchmarks