Enhancement: siamfc tracker algorithm performance based on convolutional hyperparameters optimization and low pass filter

HIGHLIGHTS

• who: Rogeany Kanza and colleagues from the Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China have published the research: Enhancement: SiamFC Tracker Algorithm Performance Based on Convolutional Hyperparameters Optimization and Low Pass Filter, in the Journal: Mathematics 2022, 10, x FOR PEER REVIEW of /2022/
• what: This study focuses an enhanced FCSNN block optimization a new activation function (ModReLU) and Gaussian low In the first method the authors propose an optimization strategy for initializing weights and bias in the block to ameliorate the learning of features so that each neuron learns . . .
  

   

  

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