Results 21 to 30 of about 15,063 (248)
Salient object detection via objectness measure [PDF]
Salient object detection has become an important task in many image processing applications. The existing approaches exploit background prior and contrast prior to attain state of the art results. In this paper, instead of using background cues, we estimate the foreground regions in an image using objectness proposals and utilize it to obtain smooth ...
R. Sai Srivatsa, R. Venkatesh Babu
openaire +2 more sources
Hybrid Attention Asynchronous Cascade Network for Salient Object Detection
The highlighted area or object is defined as the salient region or salient object. For salient object detection, the main challenges are still the clarity of the boundary information of the salient object and the positioning accuracy of the salient ...
Haiyan Yang +3 more
doaj +1 more source
Salient Object Detection from Multi-spectral Remote Sensing Images with Deep Residual Network [PDF]
Salient object detection aims at identifying the visually interesting object regions that are consistent with human perception. Multispectral remote sensing images provide rich radiometric information in revealing the physical properties of the observed ...
Yuchao DAI,Jing ZHANG,Mingyi HE,Fatih PORIKLI,Bowen LIU
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Video and Image Salient Object Detection Based on Multi-task Learning [PDF]
Salient object detection(SOD) can quickly identify high-value salient objects in complex scenes,which simulates human attention and lays the foundation for further vision understanding tasks.Currently,the mainstream methods for image-based salient object
LIU Zeyu, LIU Jianwei
doaj +1 more source
Generalised Co-Salient Object Detection
We propose a new setting that relaxes an assumption in the conventional Co-Salient Object Detection (CoSOD) setting by allowing the presence of "noisy images" which do not show the shared co-salient object. We call this new setting Generalised Co-Salient Object Detection (GCoSOD). We propose a novel random sampling based Generalised CoSOD Training (GCT)
Liu, Jiawei +5 more
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Super Diffusion for Salient Object Detection [PDF]
One major branch of saliency object detection methods is diffusion-based which construct a graph model on a given image and diffuse seed saliency values to the whole graph by a diffusion matrix. While their performance is sensitive to specific feature spaces and scales used for the diffusion matrix definition, little work has been published to ...
Peng Jiang 0002 +5 more
openaire +3 more sources
Objectness to assist salient object detection
When dealing with salient object that contains several regions with different appearances, salient object detection can be a difficult task as often only parts of the salient object are highlighted and consistency between the salient regions is poor.
Xiaoliang Sun +4 more
openaire +1 more source
Salient Object Detection for Point Clouds
Accepted to ECCV 2022.
Songlin Fan, Wei Gao 0003, Ge Li 0002
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Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects [PDF]
Salient object detection is a problem that has been considered in detail and many solutions proposed. In this paper, we argue that work to date has addressed a problem that is relatively ill-posed. Specifically, there is not universal agreement about what constitutes a salient object when multiple observers are queried.
Md. Amirul Islam +2 more
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Salient Object Detection Method Based on Multi-scale Visual Perception Feature Fusion [PDF]
Salient object detection has important theoretical research significance and practical application value,and has played an important role in many computer vision applications,such as visual tracking,image segmentation and object recognition.How-ever,the ...
WU Xiaoqin, ZHOU Wenjun, ZUO Chenglin, WANG Yifan, PENG Bo
doaj +1 more source

