Browsing Department of Computational and Data Sciences (CDS) by Subject "Landmark Estimation"
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Landmark Estimation and Image Synthesis Guidance using Self-Supervised Networks
The exponential rise in the availability of data over the past decade has fuelled research in deep learning. While supervised deep learning models achieve near-human performance using annotated data, it comes with an ...