Gait Rcognition Method Based on Knowledge Distillation
Aiming at the problems of high complexity of network model,large number of parameters and slow speed of training and testing in gait recognition,a gait recognition method based on knowl-edge distillation is proposed.The ConvNext-KD model was trained by knowledge distillation method,and the recognition accuracy of ConvNext-KD model was improved without increasing the new training data set,model complexity and model parameter number.The method is simulated in CASIA-B and CASIA-C databases of Chinese Academy of Sciences.The results show that the ConvNext-KD model can significantly shorten the duration of the training test and obtain higher recognition accuracy while keeping the number of parameters and complexity low.
万方数据
维普
