Abstract: While recent supervised methods for reference-based object counting continue to improve the performance on benchmark datasets, they have to rely on small datasets due to the cost associated ...

Abstract: Under limited annotation cost, large-scale attribute learning datasets only contain partial labels for each image. The conventional methods treat the un-annotated attributes as negative or ...