Human-object interaction detection with missing objects

Summary: This work presents a real-time approach to detect the 2D pose of multiple people in an image, achieving high accuracy and real-time performance regardless of the number of people in the image. By refining PAFs separately, both runtime performance and accuracy are significantly improved. Additionally, the first combined body and foot keypoint detector reduces inference time and maintains accuracy compared to running them sequentially.