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Salient object detection: A survey [PDF]
Computational Visual Media, 2019 Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding
Ali Borji +4 more
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RGBD Salient Object Detection, Based on Specific Object Imaging
Sensors, 2022 RGBD salient object detection, based on the convolutional neural network, has achieved rapid development in recent years. However, existing models often focus on detecting salient object edges, instead of objects.
Xiaolian Liao +4 more
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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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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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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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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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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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Self-Improved Learning for Salient Object Detection
Applied Sciences, 2023 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
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Salient Object Detection Techniques in Computer Vision—A Survey
Entropy, 2020 Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision.
Ashish Kumar Gupta +3 more
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Salient Object Detection Based on Optimization of Feature Computation by Neutrosophic Set Theory
Sensors, 2023 In recent saliency detection research, too many or too few image features are used in the algorithm, and the processing of saliency map details is not satisfactory, resulting in significant degradation of the salient object detection result.
Sensen Song +3 more
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