Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Peng Wang, Shengfeng Wang, Qikun Wang, Yuting Zhou
Institution: Tianjin University of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409913411