Video saliency detection is an active research issue in both information science and visual
psychology. In this paper, we propose an efficient video saliency-detection model, based on …

Recent works on salient object detection (SOD) mainly focus on pixel-level classification by
leveraging fully convolutional network (FCN)-based encoder-decoder models. In this paper …

Indoor gesture recognition technology is concerned with making the machine accurately
recognize dynamic gestures within a certain range. Remarkably, most of this technology is …

Salient object detection is a fundamental problem in image processing and computer vision.
Many saliency detection algorithms based on the background and frequency-domain are …

Rain removal from a single image is a challenging problem and has attracted much attention
in recent years. In this paper, we revisit the single image deraining problem, and present a …

Contour detection is a salient operation in many computer vision applications as it extracts
features that are important for distinguishing objects in scenes. It is believed to be a primary …

Stereo superpixel segmentation aims to obtain the superpixel segmentation results of the left
and right views more cooperatively and consistently, rather than simply performing …

Salient object detection is a challenging research area, which aims to highlight significant
region of the visual scene more accurately and quickly. In this research direction, we …

Information on farm land ownership is important for Indonesia, where some of the population
is farmers. The issue of unclear land ownership has caused farmer groups to experience …

The shape and area of the vortex are important indicators to judge the effect of chemical
liquid spraying and crop pollination by agricultural plant protection UAV. However, the …