CaT: Weakly Supervised Object Detection with Category Transfer
CaT: Weakly Supervised Object Detection with Category Transfer
A large gap exists between fully-supervised object detection and weakly-supervised object detection. To narrow this gap, some methods consider knowledge transfer from additional fully-supervised dataset. But these methods do not fully exploit discriminative category information in the fully-supervised dataset, thus causing low mAP. To solve this issue, we propose a …