pose estimation

This work investigates meta-learning algorithms on vision regression tasks and demonstrates their ability to tackle structured problems with a new proposed functional contrastive learning on the task representation of CNPs to improve its expressivity. Furthermore, it quantitatively analyzes various deep learning techniques to alleviate meta overfitting.