Two-stream retentive long short-term memory network for dense action anticipation

HIGHLIGHTS

• who: Dense Action Anticipation and collaborators from the School of Information Science and Engineering, Yanshan University, Qinhuangdao, China have published the research work: Two-Stream Retentive Long Short-Term Memory Network for Dense Action Anticipation, in the Journal: Computational Intelligence and Neuroscience of 16/05/2022
• what: In this work a novel method is proposed to forecast a series of actions and their durations after observing a partial video. In this work, a novel model for dense action anticipation is introduced, which is called a two-stream retentive long short-term memory network (2S-RLSTM . . .
  

   

  

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