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Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation
[article]
2019
arXiv
pre-print
While many individual tasks in the domain of human analysis have recently received an accuracy boost from deep learning approaches, multi-task learning has mostly been ignored due to a lack of data. New synthetic datasets are being released, filling this gap with synthetic generated data. In this work, we analyze four related human analysis tasks in still images in a multi-task scenario by leveraging such datasets. Specifically, we study the correlation of 2D/3D pose estimation, body part
arXiv:1905.03003v1
fatcat:wapz62r36rhuhavfkonldyvzwq