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Evaluating the Impact of Gaussian Noise on YOLO-Based Object Detection: A Systematic Study on Noise Robustness and Denoising-Retraining Strategies

2026-07-03

Abstract excerpt

Object detection systems based on the You Only Look Once (YOLO) family have achieved strong performance under controlled conditions, but their reliability often deteriorates when input images are corrupted by sensor noise, low-light artifacts, or transmission errors. This study evaluates the impact of Gaussian noise on YOLO-based object detection and examines whether image denoising combined with model retraining...

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Literature Corpus work
e21463ca-74e3-5eff-9213-0f1205aa00f1
DOI
10.20944/preprints202607.0222.v1
Open publication

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Evaluating the Impact of Gaussian Noise on YOLO-Based Object Detection: A Systematic Study on Noise Robustness and Denoising-Retraining StrategiesDOI 10.20944/preprints202607.0222.v1
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