Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

3 Jun 2017 Xiangbo Shu Jinhui Tang Guo-Jun Qi Yan Song Zechao Li Liyan Zhang

Recently, Long Short-Term Memory (LSTM) has become a popular choice to model individual dynamics for single-person action recognition due to its ability of modeling the temporal information in various ranges of dynamic contexts. However, existing RNN models only focus on capturing the temporal dynamics of the person-person interactions by naively combining the activity dynamics of individuals or modeling them as a whole... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Human Interaction Recognition BIT Co-LSTSM Accuracy 92.88 # 2
Human Interaction Recognition UT Co-LSTSM Accuracy 95.00 # 2

Methods used in the Paper


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