Cross-Domain Activity Recognition

Cross-Domain Activity Recognition refers to the technology of performing activity recognition across different data domains, aiming to address the issue of cross-domain data distribution differences through methods such as transfer learning, thereby enhancing the generalization ability and accuracy of activity recognition models in new environments. This technology has significant application value in areas like intelligent surveillance, human-computer interaction, and healthcare, effectively expanding the applicability and practicality of computer vision systems.