2018 Chinese Automation Congress (CAC) 2018
DOI: 10.1109/cac.2018.8623388
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Multi-type Digital Recognition Based on TensorFlow

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“…To detect faces from digital images, we employ the MTCNN model. Face detection and facial landmark localization in MTCNN are performed jointly through multitask learning in a coarse-to-fine approach, using a three-stage deep CNN to construct a cascaded architecture ( Ma & Wang, 2018 ). The detected faces are then resized to a resolution of 224 × 224 and stored along with the image labels.…”
Section: Methodsmentioning
confidence: 99%
“…To detect faces from digital images, we employ the MTCNN model. Face detection and facial landmark localization in MTCNN are performed jointly through multitask learning in a coarse-to-fine approach, using a three-stage deep CNN to construct a cascaded architecture ( Ma & Wang, 2018 ). The detected faces are then resized to a resolution of 224 × 224 and stored along with the image labels.…”
Section: Methodsmentioning
confidence: 99%