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Salient Object Detection (SOD) is a crucial task within the domain of digital image processing which aims to detect objects in images or videos that attract special human attention. These visually attentive objects are referred as salient objects in computer vision and image processing. The automatic recognition of these attention-grabbing objects holds considerable importance for various applications such as video summarization, automated cropping for compression purposes, image and video captioning, and action recognition. In the last two decades, various methods have been proposed by the research community to mimic the human visual capability to find the object (s) that receives the most attention. Early methodologies primarily relied on conventional approaches, but more recently, deep learning-based techniques have gained significant interest and popularity in the domain of salient object detection in …