In this story, Attention-based Dropout Layer forWeakly Supervised Object Localization, ADL, by Yonsei University, is presented.
Weakly Supervised Object Localization (WSOL) is to have object localization while without object bounding box labels, but with only image-level label, for training. In this paper:
- Attention-based Dropout Layer (ADL) is used to hide the most discriminative part from the model for capturing the integral extent of object, and highlight the informative region for improving the recognition power of the model.
This is a paper in 2019 CVPR with over 60 citations. (Sik-Ho Tsang @ Medium)