A Review on Deep Learning Techniques for Saliency Detection

Abstract

Salient object detection (SOD) has an important role in computer vision and digital image processing especially in the field of medical, ecology and transportation etc. At the same time a lot of complexity exists for detection of salient objects due to the effect of light, weather and density of the image. This review paper is proposed to summarize the existing implementation and recent technology development in the SOD. The major attention is given on reviewing deep learning techniques and edge detection techniques for SOD. From this work it is observed that the use of deep learning along with convolution neural network detects the objects accurately in less time, and by reviewing different edge detection method it is noticed that by incorporating edge detection methods can detect the objects efficiently even if it is present at clumsy and occluded regions.