Web: http://arxiv.org/abs/2205.01892

May 5, 2022, 1:10 a.m. | Cheng-Yen Yang, Zhongyu Jiang, Shih-Yu Gu, Jenq-Neng Hwang, Jang-Hee Yoo

cs.CV updates on arXiv.org arxiv.org

The Alberta Infant Motor Scale (AIMS) is a well-known assessment scheme that
evaluates the gross motor development of infants by recording the number of
specific poses achieved. With the aid of the image-based pose recognition
model, the AIMS evaluation procedure can be shortened and automated, providing
early diagnosis or indicator of potential developmental disorder. Due to
limited public infant-related datasets, many works use the SMIL-based method to
generate synthetic infant images for training. However, this domain mismatch
between real and …

arxiv cv data domain adaptation hierarchical learning synthetic data unsupervised

More from arxiv.org / cs.CV updates on arXiv.org

Predictive Ecology Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, CA

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL