The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …

Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …

Saliency detection aims to highlight the most relevant objects in an image. Methods using
conventional models struggle whenever salient objects are pictured on top of a cluttered …

Numerous efforts have been made to design various low-level saliency cues for RGBD
saliency detection, such as color and depth contrast features as well as background and …

Automatic saliency prediction in 360 videos is critical for viewpoint guidance applications
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …

Deep learning has been applied to saliency detection in recent years. The superior
performance has proved that deep networks can model the semantic properties of salient …

Image saliency detection is an active research topic in the community of computer vision and
multimedia. Fusing complementary RGB and thermal infrared data has been proven to be …

Watching a 360° sports video requires a viewer to continuously select a viewing angle,
either through a sequence of mouse clicks or head movements. To relieve the viewer from …

Computer vision systems have attracted much attention in recent years for use in detecting
surface defects on rails; however, accurate and efficient recognition of possible defects …

In virtual reality (VR), correct and precise estimations of user's visual fixations and head
movements can enhance the quality of experience by allocating more computation …