Large Scale Weakly Supervised Learning

Established: August 1, 2016

Click-through data accumulated by search engine where rich connections between images and semantics have been built via the massive user clicks. The data comes free when search engine freely provides service to users, and naturally scales up to million scale even billion scale. Unlike dedicatedly constructed datasets, click-through data is noisy, unstructured and unbalanced. Under this project, we are targeting effectively using click-through data to solve image understanding problems.