Results 11 to 20 of about 282,565 (268)
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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Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion
South African Computer Journal, 2017 The feature level, unlike the match score level, lacks multi-modal fusion guidelines. This work demonstrates a new approach for improved image-based biometric feature-fusion.
Dane Brown, Karen Bradshaw
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Fusion of competing features is not serial
Vision Research, 2003 How features of an object are bound into a unique percept is one of the puzzling problems in the cognitive and neuro-sciences. In order to investigate the spatio-temporal mechanisms of feature binding, we serially present two verniers with opposite offset directions for very short durations.
Herzog, Michael H. +3 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 ...
Michael May 0002 +2 more
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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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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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Research Progress of Multimodal Named Entity Recognition [PDF]
Zhengzhou Daxue xuebao. Gongxue banIn order to solve the problems in studies of multimodal named entity recognition, such as the lack of text feature semantics, the lack of visual feature semantics, and the difficulty of graphic feature fusion, a series of multimodal named entity ...
WANG Hairong +3 more
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Features Fusion for Classification of Logos
Procedia Computer Science, 2016 In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification. Color, texture, and shape of a logo wholly describe the global characteristics of logo images.
N. Vinay Kumar +4 more
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