Hoi Detection

Human-object interaction (HOI) detection aims to identify humans, objects, and their interactions within images and videos, a crucial step towards comprehensive scene understanding. Current research emphasizes improving the efficiency and accuracy of HOI detection, focusing on transformer-based architectures, and addressing challenges like long-tailed distributions of interactions and the need for robust generalization to unseen scenarios through techniques such as multi-modal prompts and synthetic data augmentation. Advances in HOI detection have significant implications for robotics, autonomous systems, and human-computer interaction, enabling more sophisticated and context-aware applications.