Scientific digital documents often contain crucial information presented in the form of isolated mathematical expressions. Conventional Convolutional Neural Network (CNN)-based object detection methods, such as Faster R-CNN and YOLO, generally rely on manual components like anchor boxes and Non-Maximum Suppression (NMS) processes, which limit the model's flexibility regarding complex visual str…