With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …

Detection and localization of regions of images that attract immediate human visual attention
is currently an intensive area of research in computer vision. The capability of automatic …

Fully convolutional neural networks (FCNs) have shown their advantages in the salient
object detection task. However, most existing FCNs-based methods still suffer from coarse …

Although current salient object detection (SOD) works have achieved significant progress,
they are limited when it comes to the integrity of the predicted salient regions. We define the …

Abstract Deep Convolutional Neural Networks have been adopted for salient object
detection and achieved the state-of-the-art performance. Most of the previous works …

As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …

This paper presents a new method for detecting salient objects in images using
convolutional neural networks (CNNs). The proposed network, named PAGE-Net, offers two …

Benefit from the quick development of deep learning techniques, salient object detection has
achieved remarkable progresses recently. However, there still exists following two major …

Recent progress on salient object detection (SOD) mostly benefits from the explosive
development of Convolutional Neural Networks (CNNs). However, much of the improvement …

Contexts play an important role in the saliency detection task. However, given a context
region, not all contextual information is helpful for the final task. In this paper, we propose a …