Image Saliency Detection By Residual And Inception-like CNNs

Abstract

Saliency detection is an important task in image processing as it can solve many problems and it usually is the first step in other processes. Saliency detection is traditionally carried out by using hand-crafted features obtained from principles in neuroscience. On the other hand, introduction of convolutional neural networks was to some degree a paradigm shift in the field of object detection and it impacted other areas of image processing, including salient regions detection, as a whole. In this paper various methods of saliency detection systems are reviewed. Then, two new methods based on deep learning and convolutional neural networks have been introduced for pixel level detection. These methods are fast and accurate making them desirable for real-time implementation.