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Face Recognition Using Synthetic Face Data
In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results.
Automatic defect segmentation by unsupervised anomaly learning
We train a U-net shape network to segment defects using a dataset of clean background images.
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