Zijian Fu

Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution Can Improve Robust Scene Graph Generation

We propose Robo-SGG, a plug-and-play module for robust scene graph generation (SGG). Unlike standard SGG, robust SGG aims to perform inference on a diverse range of corrupted images, with the core challenge being the domain shift between clean and corrupted images. Existing SGG methods suffer from d