Results 11 to 20 of about 310,518 (314)
Dual feature fusion network: A dual feature fusion network for point cloud completion
IET Computer Vision, 2022 Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Large‐region missing point clouds will cause great deviations in downstream tasks.
Fang Gao +7 more
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Attentional feature fusion [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network architectures. It is often implemented via simple operations, such as summation or concatenation, but this might not be the best ...
Wu, Yiquan +9 more
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, 2009 This chapter introduces the basis of feature level fusion and presents two feature level fusion examples. As the beginning, Section 13.1 provides an introduction to feature level fusion. Section 13.2 describes two classes of feature level fusion schemes.
David Zhang +3 more
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Multimodal feature fusion for concreteness estimation
2022 25th International Conference on Information Fusion (FUSION), 2022 In recent years the idea of fusing diverse type of information has often been employed to solve various Deep Learning tasks. Whether these regard an NLP problem or a Machine Vision one, the concept of using more inputs of the same type has been the basis
Incitti F., Snidaro L.
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Robust Image Matching Based on Image Feature and Depth Information Fusion
Machines, 2022 In this paper, we propose a robust image feature extraction and fusion method to effectively fuse image feature and depth information and improve the registration accuracy of RGB-D images.
Zhiqiang Yan +3 more
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Face recognition using ensemble statistical local descriptors
Journal of King Saud University: Computer and Information Sciences, 2023 The use of data fusion can be of a enormous help in boosting classification performance. Feature fusion is a data fusion technique that is being considered in this study.
Alaa Eleyan
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Stereo 3D Object Detection Using a Feature Attention Module
Algorithms, 2023 Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy.
Kexin Zhao, Rui Jiang, Jun He
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Adaptive Feature Pyramid Networks for Object Detection
IEEE Access, 2021 In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
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Multi-Feature Fusion Algorithm in VR Panoramic Image Detail Enhancement Processing
IEEE Access, 2020 VR panoramic image is an image technology that covers a wide range of scenes. Its imaging range is much larger than that of traditional imaging systems, and it can fully reflect all the information of the imaging space.
Minling Zhu, Xiaomo Yu
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Sensors, 2022 Multi-source information fusion technology is a kind of information processing technology which comprehensively processes and utilizes multi-source uncertain information.
Chaoyue Guo, Qiuzhi Song, Yali Liu
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