View-Invariant Probabilistic Embedding for Human Pose

Depictions of similar human body configurations can vary with changing viewpoints. Using only 2D information, we would like to enable vision algorithms to recognize similarity in human body poses across multiple views... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Pose Retrieval Human3.6M Pr-VIPE [email protected] 76.2 # 1
[email protected] 95.6 # 1
Pose Retrieval MPI-INF-3DHP Pr-VIPE [email protected] 26.4 # 1
[email protected] 58.6 # 1
Skeleton Based Action Recognition UPenn Action Pr-VIPE Accuracy 97.5 # 1
Video Alignment UPenn Action Pr-VIPE Kendall's Tau 0.7476 # 2

Methods used in the Paper


METHOD TYPE
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