EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation

16 Jul 2020Christopher NeffAneri ShethSteven FurgursonHamed Tabkhi

Recent years have brought great advancement in 2D human pose estimation. However, bottom-up approaches that do not rely on external detectors to generate person crops, tend to have large model sizes and intense computational requirements, making them ill-suited for applications where large computation costs can be prohibitive... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper