Tomokazu Kaneko

Mask augmented Object-Centric Contrastive Learning for Amodal Instance Segmentation

Human cognition is robust in estimating depth ordering and occluded regions of objects, including amodal instance segmentation (AIS). Object-centric representation learning (OCRL) is an unsupervised approach to obtaining a new representation that mimics human common sense, such as amodal perception.…