AN ATTENTION-INTEGRATED YOLO11-S MODEL FOR OBJECT DETECTION IN SATELLITE IMAGERY: PERFORMANCE ANALYSIS AND COMPARISON
A novel model is introduced by assessing the impacts of several YOLO object detection algorithms with the Convolutional Block Attention Module (CBAM) on aircraft detection from satellite images to demonstrate that attention mechanisms have a significant impact when used with the YOLO architecture for object detection i...