Results 11 to 20 of about 287,251 (295)
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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Remote Sensing, 2023 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
IEEE Access, 2023 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
Sensors, 2023 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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A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals
Frontiers in Neuroscience, 2023 Emotion recognition is a challenging task, and the use of multimodal fusion methods for emotion recognition has become a trend. Fusion vectors can provide a more comprehensive representation of changes in the subject's emotional state, leading to more ...
Baole Fu +10 more
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Medical Image Fusion with Local-Global Feature Coupling and Cross-Scale Attention [PDF]
Jisuanji gongcheng, 2023 To address the insufficient global feature representation in existing deep learning-based multimodal medical image fusion methods, this study proposes a medical image fusion method based on local-global feature coupling and cross-scale attention.The ...
ZHANG Jiong, WANG Lifang, LIN Suzhen, QIN Pinle, MI Jia, LIU Yang
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Sensors, 2022 In today’s information age, how to accurately identify a person’s identity and protect information security has become a hot topic of people from all walks of life.
Yang Wang, Dekai Shi, Weibin Zhou
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Multi-View Joint Learning and BEV Feature-Fusion Network for 3D Object Detection
Applied Sciences, 2023 Traditional 3D object detectors use BEV (bird’s eye view) feature maps to generate 3D object proposals, but in a single BEV feature map, there are inevitably the problems of high compression and information loss. To solve this problem, we propose a multi-
Qunming Liu +4 more
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FAW for Multi-exposure Fusion Features [PDF]
, 2011 This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a ...
May, Michael +2 more
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Feature fusion network based on strip pooling [PDF]
Scientific Reports, 2021 AbstractContextual information is a key factor affecting semantic segmentation. Recently, many methods have tried to use the self-attention mechanism to capture more contextual information. However, these methods with self-attention mechanism need a huge computation.
Gaihua Wang, Qianyu Zhai
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