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公开(公告)号:US20240371024A1
公开(公告)日:2024-11-07
申请号:US18364823
申请日:2023-08-03
Inventor: Suha Kwak , Jaesung Rim , Byungju Woo , Geonu Kim , Sunghyun Cho , Sohyun Lee , Haechan Lee
Abstract: Provided is an apparatus for learning human pose estimation by configuring a dataset for human pose estimation by simultaneously obtaining a well-lit image and a low-light image, performing annotation in the well-lit image, and transmitting the annotation to the low-light image. By using the well-lit image included in the dataset as an input of a teacher model and the low-light image as an input of a student model, the student model learns human pose estimation at a high accuracy in low-light conditions by using privileged information of the teacher model.