Enhancing 2D Representation Learning with a 3D Prior
Enhancing 2D Representation Learning with a 3D Prior
Learning robust and effective representations of visual data is a fundamental task in computer vision. Traditionally, this is achieved by training models with labeled data which can be expensive to obtain. Self-supervised learning attempts to circumvent the requirement for labeled data by learning representations from raw unlabeled visual data alone. …