Patent ID: 11941872
Assignee: ZHEJIANG GONGSHANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method according to claim 6, wherein said updating the basic clip feature vectors by the conditional feature update module comprises:
the intermediate feature map Ht−1 of a stage t−1 is transformed into ht−1 by the maximum pooling operation;
for the basic clip feature vector cit of each stage t, a weight ait is learned in combination with the information of the stage t−1, which is expressed by the formula as follows:

ait=sigmoid(Wrt·(ht−1⊙cit)+brt),

where Wrt and by are parameters to be learned, ⊙ is Hadamard Product, and sigmoid is a nonlinear sigmoid activation function;
an updated feature vector cit of each basic clip is obtained according to a learned weight ait, that is:, c
     i
    
    ¯
   
   t
  
  =
  
   
    
     c
     i
     t
    
    ⊙
    
     a
     i
     t
    
   
   .