Results 11 to 20 of about 94,707 (276)
Scene Context-Aware Salient Object Detection [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Salient object detection identifies objects in an image that grab visual attention. Although contextual features are considered in recent literature, they often fail in real-world complex scenarios. We observe that this is mainly due to two issues: First, most existing datasets consist of simple foregrounds and backgrounds that hardly represent real ...
Siris, A +4 more
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Wavelet-Transform Based Fast Underwater Salient Object Detection Algorithm [PDF]
Jisuanji gongcheng, 2023 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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Salient Object Detection: A Benchmark [PDF]
IEEE Transactions on Image Processing, 2015 We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 challenging datasets for the purpose of benchmarking salient object detection and segmentation methods.
Borji, Ali +3 more
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Survey of Salient Object Detection Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 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]
Jisuanji kexue, 2023 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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Salient object detection via objectness measure [PDF]
2015 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, Babu, R. Venkatesh
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Super Diffusion for Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2020 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 +5 more
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Deep Learning Based Salient Object Detection in Infrared Video [PDF]
Jisuanji kexue, 2023 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
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RGB-D salient object detection: A survey [PDF]
Computational Visual Media, 2021 Salient object detection (SOD), which simulates the human visual perception system to locate the most attractive object(s) in a scene, has been widely applied to various computer vision tasks. Now, with the advent of depth sensors, depth maps with affluent spatial information that can be beneficial in boosting the performance of SOD, can easily be ...
Zhou, Tao +4 more
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Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 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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