YOLO-BAM: Integrating CBAM to the YOLOv3 Model for Pedestrian Detection in Images

• Main Authors: Eclarinal, Jason, Alampay, Raphael
• 格式: text
• 出版: Archīum Ateneo 2023
• 主題: Artificial intelligence; Computer vision; Computer vision problems; Computing methodologies; Object detection; Artificial Intelligence and Robotics; Computer Sciences; Physical Sciences and Mathematics
• 在線閱讀: https://archium.ateneo.edu/discs-faculty-pubs/407; https://doi.org/10.1145/3631991.3632043
• 機構: Ateneo De Manila University

This study investigates the impact of integrating the Convolutional Block Attention Module (CBAM) into the YOLOv3 model for pedestrian detection. Through a 50-epoch training process on the COCO 2017 dataset, the performance of the modified YOLOv3 model, named YOLO-BAM, was evaluated against the base...