Results 11 to 20 of about 399,843 (267)
Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion
Sensors, 2022 Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall ...
Horatiu Florea +5 more
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Person Re-Identification Based on DropEasy Method
IEEE Access, 2019 Currently, majority of person re-identification (reID) technologies are network-constrained by Dropout regularization, which relies on the random zeroing out of some features to make these features more independent.
Huiyang Wang +3 more
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MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction
Nano-Micro Letters, 2017 Membrane proteins are an important kind of proteins embedded in the membranes of cells and play crucial roles in living organisms, such as ion channels, transporters, receptors.
Xi Yin +4 more
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A scale-adaptive object-tracking algorithm with occlusion detection
EURASIP Journal on Image and Video Processing, 2020 The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of fine-grained ...
Yue Yuan +4 more
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Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Information, 2014 Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
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Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification
IEEE Access, 2021 In person re-identification (Re-ID), increasing the diversity of pedestrian features can improve recognition accuracy. In standard convolutional neural networks (CNNs), the receptive fields of neurons in each layer are designed to have the same size ...
Li Xu, Xiang Fu
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No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain
IEEE Access, 2021 This paper proposes a general-purpose no-reference image quality assessment (NR-IQA) method that investigates the image’s structure information from a new aspect, i.e., the characteristic of image edge profiles that depict the directional property
Wenting Shao, Xuanqin Mou
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SiamCCF: Siamese visual tracking via cross‐layer calibration fusion
IET Computer Vision, 2023 Siamese networks have attracted wide attention in visual tracking due to their competitive accuracy and speed. However, the existing Siamese trackers usually leverage a fixed linear aggregation of feature maps, which does not effectively fuse the ...
Si Chen +5 more
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ISPRS International Journal of Geo-Information, 2018 The extraction of activation vectors (or deep features) from the fully connected layers of a convolutional neural network (CNN) model is widely used for remote sensing image (RSI) representation.
Na Liu +4 more
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One-Shot Distributed Generalized Eigenvalue Problem (DGEP): Concept, Algorithm and Experiments
Applied Sciences, 2022 This paper focuses on the design of a distributed algorithm for generalized eigenvalue problems (GEPs) in one-shot communication. Since existing distributed methods for eigenvalue decomposition cannot be applied to GEP, a general one-shot distributed GEP
Kexin Lv +4 more
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