Transfer Learning by Ranking for Weakly Supervised Object Annotation
Transfer Learning by Ranking for Weakly Supervised Object Annotation
Most existing approaches to training object detectors rely on fully supervised learning, which requires the tedious manual annotation of object location in a training set. Recently there has been an increasing interest in developing weakly supervised approach to detector training where the object location is not manually annotated but automatically …