In recent years deep neural networks have been widely applied to visual saliency detection
tasks with remarkable detection performance improvements. As for the salient object …

In view of the observation that saliency maps generated by saliency detection algorithms
usually show similarity imperfection against the ground truth, the authors propose an …

Convolutional neural networks have been successfully applied to detect salient objects in an
image. However, how to better use convolutional features for co-saliency detection, which is …

This paper proposes a saliency integration approach via the use of similar images to elevate
saliency detection performance. Given the input image, a group of similar images are first …

Image saliency and co-saliency detection that aim to detect salient objects in an image or
common salient objects in a group of images are import in computer vision. Researchers …

高分四号(GF-4) 卫星是目前世界上分辨率最高的静止轨道光学遥感卫星, 它具有高时间分辨率,
高空间分辨率和大成像幅宽等优点, 可对指定区域进行连续观测. 提出一种适用于GF-4 …

To solve the problems in current co-saliency detection algorithms, a novel co-saliency
detection algorithm is proposed which applies fully convolution neural network and global …

针对目前协同显著性检测问题中存在的协同性较差, 误匹配和复杂场景下检测效果不佳等问题,
该文提出一种基于卷积神经网络与全局优化的协同显著性检测算法. 首先基于VGG16Net …

Unsupervised salient image generation without the aid of prior assumptions has many
applications in computer vision. We present three unique real-time saliency generation …

In the field of computer vision, image saliency target detection can not only improve the
accuracy of image detection but also accelerate the speed of image detection. In order to …