2024
DOI: 10.3390/ai5040113
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Comparison of CNN-Based Architectures for Detection of Different Object Classes

Nataliya Bilous,
Vladyslav Malko,
Marcus Frohme
et al.

Abstract: (1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Computer vision and deep learning technologies play a key role in detecting the required objects due to their ability to analyze big volumes of visual data… Show more

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