RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection

ArXi:2604.00507v1 Announce Type: new Weakly-supervised Human-Object Interaction (HOI) detection is essential for scalable scene understanding, as it learns interactions from only image-level annotations. Due to the lack of localization signals, prior works typically rely on an external object detector to generate candidate pairs and then infer their interactions through pairwise reasoning. However, this framework often struggles to scale due to the substantial computational cost incurred by enumerating numerous instance pairs.