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IEEE/ICACT20240312 Slide.05        [Big Slide]	Oral Presentation
	Though there are a number of rip current detection methods available, we consider these studies as the most related and comparable studies for our research work. First Automated Rip Current Detection by de Silva et al. It Used 1740 images with rips, and 700 without rips as bounding boxes. And implemented Faster RCNN for Static Image Detection. Second is YOLO-Rip by Zhu et al. It used the same dataset from Automated Rip Current Detection and used YOLOv5 to build its own YOLO-Rip model. Third RipDet+ model by Rashid et al. and finally Rip current segmentation method by Dumitriu.

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