Results 21 to 30 of about 4,939,141 (238)

Cross‐scale resolution consistent network for salient object detection

open access: yesIET Image Processing
The salient object detection task tries to simulate the human visual system for most eye‐catching objects or regions detection. However, due to the complexity of the visual mechanisms, current methods will suffer from severe performance degradation ...
Xiaoyu Huang   +3 more
doaj   +2 more sources

Learning to Detect a Salient Object [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
In this paper, we study the salient object detection problem for images. We formulate this problem as a binary labeling task where we separate the salient object from the background. We propose a set of novel features, including multiscale contrast, center-surround histogram, and color spatial distribution, to describe a salient object locally ...
Tie Liu   +6 more
openaire   +4 more sources

Salient object detection via objectness measure [PDF]

open access: yes2015 IEEE International Conference on Image Processing (ICIP), 2015
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   +3 more sources

Salient Object Detection from Multi-spectral Remote Sensing Images with Deep Residual Network [PDF]

open access: yesJournal of Geodesy and Geoinformation Science, 2019
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
doaj   +1 more source

CoSOV1Net: A Cone- and Spatial-Opponent Primary Visual Cortex-Inspired Neural Network for Lightweight Salient Object Detection

open access: yesSensors, 2023
Salient object-detection models attempt to mimic the human visual system’s ability to select relevant objects in images. To this end, the development of deep neural networks on high-end computers has recently achieved high performance.
Didier Ndayikengurukiye, Max Mignotte
doaj   +1 more source

Generalised Co-Salient Object Detection

open access: yesCoRR, 2022
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
openaire   +2 more sources

Objectness to assist salient object detection

open access: yesIET Image Processing, 2016
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

open access: yes, 2022
Accepted to ECCV 2022.
Songlin Fan, Wei Gao 0003, Ge Li 0002
openaire   +3 more sources

Salient Object Detection Method Based on Multi-scale Visual Perception Feature Fusion [PDF]

open access: yesJisuanji kexue
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

Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
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
openaire   +3 more sources

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