Explainable AI studies for object detection using transformer-based vision models
Historically, convolutional methods such as YOLO, SSD, and R-CNN were the driving force behind object detection and localization research. In recent years, however, transformer-based approaches like DETR have fundamentally shifted the paradigm for model development. Understanding how objectness is learned can inform ho...