LCR-Net: Localization-Classification-Regression for Human Pose

CVPR 2017 Gregory RogezPhilippe WeinzaepfelCordelia Schmid

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, which allows us to predict 2D and 3D pose of multiple people simultaneously... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
3D Multi-Person Pose Estimation (root-relative) MuPoTS-3D LCR-Net MPJPE 146 # 3

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