Salient Object Detection: A Short Review

With strong applications in object finding, video surveillance, image compression, and other fields, salient object detection, or SOD, is a solid and well-established field of contemporary computer vision. A number of SOD techniques sought to list items with more focused cues than the surroundings, including contrast before. However, deep learning frameworks began to dominate SOD due to the growth of media and sophisticated learning mechanisms. Stacking layers are used to process and then extract visual information in a deep learning-based SOD model. As a result, feature representation in SOD operations is more crucial and challenging. The primary goal of the paper is to increase the prominence of cutting-edge techniques, including both deep learning-based and classical-based approaches.