Results 61 to 70 of about 2,971,245 (148)
Regularized feature reconstruction for spatio-temporal saliency detection
Multimedia applications such as image or video retrieval, copy detection, and so forth can benefit from saliency detection, which is essentially a method to identify areas in images and videos that capture the attention of the human visual system.
Ren, Zhixiang +3 more
core +1 more source
Co-saliency detection via similarity-based saliency propagation
In this paper, we present a method for discovering the common salient objects from a set of images. We treat co-saliency detection as a pairwise saliency propagation problem, which utilizes the similarity between each pair of images to measure the common
Jie Yang +11 more
core +2 more sources
RGB-D Saliency Object Detection Based on Sparse Contrastive Self-Distillation [PDF]
In recent years, Red Green Blue-Depth (RGB-D) saliency object detection technology has made significant progress with a notable improvement in performance.
YU Yangyang, WU Dunquan, CHEN Chenglizhao
doaj +1 more source
Learning Saliency by MRF and Differential Threshold
Saliency detection has been an attractive topic in recent years. The reliable detection of saliency can help a lot of useful processing without prior knowledge about the scene, such as content-aware image compression, segmentation, etc.
Zhu, Guokang +3 more
core +1 more source
Multi‐scale saliency detection via inter‐regional shortest colour path
Saliency detection has attracted considerable attention, and numerous approaches aimed at locating meaningful regions in images have been presented. Nevertheless, accurate saliency detection algorithms remain in urgent demand.
Wenzhong Guo, Xiaolong Sun, Yuzhen Niu
doaj +1 more source
Performance Comparison of Saliency Detection
Saliency detection has attracted significant attention in the field of computer vision technology over years. At present, more than 100 saliency detection models have been proposed.
Hongbo Bi +4 more
core +1 more source
Research on image saliency detection based on deep neural network
As a hot research field at present, computer vision is devoted to the rapid acquisition and application of target information from images or videos by simulating human visual mechanism.
Linrun Qiu, Dongbo Zhang, Yingkun Hu
doaj +1 more source
Optimisation for image salient object detection based on semantic‐aware clustering and CRF
State‐of‐the‐art optimisation methods for salient object detection neglect that saliency maps of different images usually show different imperfections. Therefore, the saliency maps of some images cannot achieve effective optimisation.
Junhao Chen +3 more
doaj +1 more source
Visual Saliency Modeling for River Detection in High-Resolution SAR Imagery
Accurate detection of rivers plays a significant role in water conservancy construction and ecological protection, where airborne synthetic aperture radar (SAR) data have already become one of the main sources.
Fei Gao +5 more
doaj +1 more source
Visual saliency detection using information divergence
The technique of visual saliency detection supports video surveillance systems by reducing redundant information and highlighting the critical, visually important regions.
Tao, D. +10 more
core +1 more source

