2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) 2021
DOI: 10.1109/icaice54393.2021.00138
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Face Detection under Non-uniform Low Light Based on Improved MTCNN

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Cited by 4 publications
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“…Using light compensation theory, Bao and Dang improved preprocessing techniques, resulting in an enhanced MCTNN model. (13) Experimental results demonstrated that MCTNN achieved increased accuracy in low-luminosity environments. Liang et al proposed the REGDet face detection architecture designed to detect faces under low-luminosity conditions.…”
Section: Introductionmentioning
confidence: 94%
“…Using light compensation theory, Bao and Dang improved preprocessing techniques, resulting in an enhanced MCTNN model. (13) Experimental results demonstrated that MCTNN achieved increased accuracy in low-luminosity environments. Liang et al proposed the REGDet face detection architecture designed to detect faces under low-luminosity conditions.…”
Section: Introductionmentioning
confidence: 94%