DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Pose Estimation Leeds Sports Poses ResNet-152 + intermediate supervision PCK 90.1% # 8
Multi-Person Pose Estimation MPII Multi-Person DeeperCut AP 59.4% # 9
Multi-Person Pose Estimation WAF DeeperCut AOP 88.10% # 1

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Pose Estimation MPII Human Pose ResNet-152 + intermediate supervision PCKh-0.5 88.52% # 21

Methods used in the Paper