In this story, Self-produced Guidance for Weakly-supervised Object Localization, SPG, by University of Technology Sydney, and University of Illinois Urbana-Champaign, is shortly 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 story:
- Self-produced Guidance (SPG) masks are proposed, which separate the foreground i.e., the object of interest, from the background to provide the classification networks with spatial correlation information of pixels.
- The SPG masks are progressively learned and auxiliary supervised for further improvement in producing high-quality object localization maps.
This is a paper in 2018 ECCV with over 70 citations. (Sik-Ho Tsang @ Medium)