Semantic Data Augmentation
Tim discusses the potential of using generative models to augment training data by adding semantic information. By combining depth estimation and generative models, a framework for sophisticated data augmentation can be created, allowing for the synthesis of diverse scenes with varying camera angles and lighting.In this clip
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Machine Learning Street Talk (MLST)
Sayak Paul
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