Results 1 to 10 of about 2,643,411 (303)
Dual feature fusion network: A dual feature fusion network for point cloud completion
Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Largeāregion missing point clouds will cause great deviations in downstream tasks.
Fang Gao +7 more
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Robust Image Matching Based on Image Feature and Depth Information Fusion
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
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
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
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
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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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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Multi-modality three-dimensional (3D) object detection is a crucial technology for the safe and effective operation of environment perception systems in autonomous driving.
Wei He +3 more
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Model Selection of Hybrid Feature Fusion for Coffee Leaf Disease Classification
Coffee leaf diseases can significantly impact the productivity and quality of the crops. Accurate and timely identification of these diseases is crucial for effective management and control.
Muhamad Faisal +2 more
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Lightweight Network DCR-YOLO for Surface Defect Detection on Printed Circuit Boards
To resolve the problems associated with the small target presented by printed circuit board surface defects and the low detection accuracy of these defects, the printed circuit board surface-defect detection network DCR-YOLO is designed to meet the ...
Yuanyuan Jiang, Mengnan Cai, Dong Zhang
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