Deeply Learned Compositional Models for Human Pose Estimation

Compositional models represent patterns with hierarchies of meaningful parts and subparts. Their ability to characterize high-order relationships among body parts helps resolve low-level ambiguities in human pose estimation (HPE)... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Pose Estimation MPII Human Pose DLCM PCKh-0.5 92.3 # 6

Methods used in the Paper


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