EPrOD: Evolved Probabilistic Object Detector with Diverse Samples

Pages: 56 - 66
Published: Aug 23, 2020
Abstract
Even small errors in object detection algorithms can lead to serious accidents in critical fields such as factories and autonomous vehicles. Thus, a so-called probabilistic object detector (PrOD) has been proposed. However, the PrOD still has problems of underestimating the uncertainty of results and causing biased approximation due to limited information. To solve the above-mentioned problems, this paper proposes a new PrOD composed of four key...
Paper Details
Title
EPrOD: Evolved Probabilistic Object Detector with Diverse Samples
Published Date
Aug 23, 2020
Pages
56 - 66
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