Focusing on only semantic instances that only salient in a scene gains more benefits for
robot navigation and self-driving cars than looking at all objects in the whole scene. This …

We consider an interesting problem---salient instance segmentation. Other than producing
approximate bounding boxes, our network also outputs high-quality instance-level …

Video salient object detection aims to find the most visually distinct objects in a video. To
explore the temporal dependencies, existing methods usually resort to recurrent neural …

This paper presents a method for detecting salient objects in videos, where temporal
information in addition to spatial information is fully taken into account. Following recent …

Recently, deep learning-based video salient object detection (VSOD) has achieved some
breakthroughs, but these methods rely on expensive annotated videos with pixel-wise …

The last decade has witnessed a growing interest in video salient object detection (VSOD).
However, the research community long-term lacked a well-established VSOD dataset …

Different from conventional instance segmentation, salient instance segmentation (SIS)
faces two difficulties. The first is that it involves segmenting salient instances only while …

In this paper, we introduce a novel approach to identify salient object regions in videos via
object proposals. The core idea is to solve the saliency detection problem by ranking and …

Video salient object detection targets at extracting the most conspicuous objects in a video
sequence, which facilitate various video processing tasks, eg, video compression, video …

Significant performance improvement has been achieved for fully-supervised video salient
object detection with the pixel-wise labeled training datasets, which are timeconsuming and …