Btm: boundary trimming module for temporal action detection

HIGHLIGHTS

• who: Maher Hamdi et al. from the School of Business, George Washington University, Washington, DC, USA have published the research: BTM: Boundary Trimming Module for Temporal Action Detection, in the Journal: Electronics 2022, 11, 3520. of /2022/
• what: In this paper, a Boundary Trimming Module was proposed to adjust the generated detection results.
• how: The performance of TAD methods depends upon the underlying video classification networks especially when pre-trained networks are used to extract features of the video. Motivated by the above discussions this paper presents a novel Boundary Trimming Module (BTM . . .
  

   

  

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