Efficient deep learning framework for fire detection in complex surveillance environment

HIGHLIGHTS

• who: JaeSeung Song from the Department of Convergence Engineering for Intelligent Drone, Seoul, Korea have published the research work: Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment, in the Journal: (JOURNAL)
• what: CSSE, 2023, vol.46, no . computation cost, and repression of the constraints in present lightweight models, this study proposes an efficient fire detection and classification model, E-FireNet. The model was able to achieve higher accuracy when compared with other SOTA models despite a limited number of parameters and higher FPS. In subsection 4.3 the article compares the proposed . . .
  

   

  

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