Results 11 to 20 of about 15,063 (248)
Salient Object Detection With Importance Degree [PDF]
In this article, we introduce salient object detection with importance degree (SOD-ID), which is a generalized technique for salient object detection (SOD), and propose an SOD-ID method.
Yo Umeki +3 more
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Salient object detection in egocentric videos
In the realm of video salient object detection (VSOD), the majority of research has traditionally been centered on third‐person perspective videos. However, this focus overlooks the unique requirements of certain first‐person tasks, such as autonomous ...
Hao Zhang +4 more
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Spectral salient object detection [PDF]
Many existing methods for salient object detection are performed by over-segmenting images into non-overlapping regions, which facilitate local/global color statistics for saliency computation. In this paper, we propose a new approach: spectral salient object detection, which is benefited from selected attributes of normalized cut, enabling better ...
Keren Fu +4 more
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Learning to Detect a Salient Object [PDF]
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 +3 more sources
Wavelet-Transform Based Fast Underwater Salient Object Detection Algorithm [PDF]
Ground-based salient object detection has made significant advances;however, the complexity of underwater scenes has led to many challenges in underwater salient object detection.For rapid detection of salient objects in complex underwater environments ...
SUN Xinyue, LI Qingzhong
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Survey of Salient Object Detection Based on Deep Learning
With the development of deep learning, salient object detection based on deep learning has become a research hotspot in the computer vision field. Firstly, existing salient object detection methods based on deep learning are introduced from three aspects,
SHI Caijuan, ZHANG Weiming, CHEN Houru, GE Lulu
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Feature Fusion and Boundary Correction Network for Salient Object Detection [PDF]
Saliency object detection aims to find visually significant areas in an image.Existing salient object detection methods have shown strong advantages,but they are still limited by scale perception and boundary prediction.First of all,there are many scales
CHEN Hui, PENG Li
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Deep Learning Based Salient Object Detection in Infrared Video [PDF]
In the face of massive infrared video images with more and more complex background,the performance of the tradi-tional methods for salient object detection decreases significantly.In order to improve the performance of salient object detection in ...
ZHU Ye, HAO Yingguang, WANG Hongyu
doaj +1 more source
Weakly supervised salient object detection via double object proposals guidance
The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
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Self-Improved Learning for Salient Object Detection
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede
Songyuan Li +3 more
doaj +1 more source

