Research on Improved PPLCNet Classification Network Based on CBAM Attention Mode

This paper studies pedestrian attribute recognition based on the pplcnet network because it is of great significance in the field of traffic security.Firstly, the research status of pedestrian attribute recognition and common deep learning models are introduced.Secondly, considering that convolutional block attention module contains both spatial attention module and channel attention module, we add this attention model to pplcnet to improve performance.Finally, this paper verifies the model through the pa100k dataset and obtains good results.