Towards Unbiased Scene Graph Generation: Techniques and Applications

Scene graph generation (SGG) is a fundamental task in the computer vision community, but bias in data distribution is not well addressed in many previous arts. This thesis develops a suite of techniques to solve the bias issue in SGG. It also proposes to apply it to another visual task, human-object interaction (HOI), and shows promising performance improvements.