Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared
Convolutional neural networks were used for multiclass segmentation in thermal infrared face analysis. The principle is based on existing image-to-image translation approaches, where each pixel in an image is assigned to a class label. We show that established networks architectures can be trained f...
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Veröffentlicht in: | Journal of nondestructive evaluation 2021, Vol.40 (1), p.9-9, Article 9 |
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