Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks

This paper addresses the problems of feature representation of skeleton joints and the modeling of temporal dynamics to recognize human actions. Traditional methods generally use relative coordinate systems dependent on some joints, and model only the long-term dependency, while excluding short-term and medium term dependencies... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Skeleton Based Action Recognition NTU RGB+D Ensemble TS-LSTM v2 Accuracy (CV) 81.25 # 66
Accuracy (CS) 74.60 # 64

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