HOI M3 Dataset

Human-object interaction (HOI) detection aims to identify and understand actions between people and objects in images and videos, a crucial step towards building more intelligent computer vision systems. Recent research focuses on developing large-scale datasets like HOI-M3, which capture multiple interacting humans and objects in 3D, addressing the limitations of previous datasets that often focused on isolated interactions. These datasets, along with advancements in models leveraging multi-modal prompts and large vision-language models, are improving the accuracy and generalization capabilities of HOI detection, particularly in handling complex scenarios and addressing the long-tail problem of infrequent interactions. This progress has significant implications for applications such as robotics, video understanding, and human behavior analysis.