Interaction Decoder

Interaction decoders are computational components designed to analyze and interpret interactions within various data modalities, such as images, text, and graphs. Current research focuses on improving efficiency and accuracy, particularly in human-object interaction (HOI) detection, often employing transformer-based architectures, disentangled pre-training, and vision-language integration to address challenges like data scarcity and complex interaction patterns. These advancements have significant implications for applications ranging from improved image understanding and language processing to more sophisticated autonomous systems and advanced knowledge graph reasoning.