Results 21 to 30 of about 94,707 (276)
Salient Object Detection via Integrity Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 TPAMI ...
Zhuge, Mingchen +5 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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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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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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Learning to Detect a Salient Object [PDF]
IEEE 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
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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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Salient Object Detection With Importance Degree
IEEE Access, 2020 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 from Multi-spectral Remote Sensing Images with Deep Residual Network [PDF]
Journal 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
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Sensors, 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
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Video and Image Salient Object Detection Based on Multi-task Learning [PDF]
Jisuanji kexueSalient 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
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