474 Result(s)
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Computer Science
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Article
Open AccessPhishing behavior detection on different blockchains via adversarial domain adaptation
Despite the growing attention on blockchain, phishing activities have surged, particularly on newly established chains. Acknowledging the challenge of limited intelligence in the early stages of new chains, we...
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CMT-6D: a lightweight iterative 6DoF pose estimation network based on cross-modal Transformer
6DoF pose estimation has received much attention in recent years. A key challenge is the difficulty of estimating object pose when the target texture is weak. In this work, we present the cross-modal Transform...
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Multi-scale attention graph convolutional recurrent network for traffic forecasting
In the backdrop of an ever-expanding urban transportation road network, the dramatic changes in traffic flow make traffic flow forecasting become a challenge. Which encompass intricate spatial correlations and...
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The influences of ChatGPT on undergraduate students’ demonstrated and perceived interdisciplinary learning
The significance of interdisciplinary learning has been well-recognized by higher education institutions. However, when teaching interdisciplinary learning to junior undergraduate students, their limited disci...
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Open-Vocabulary Text-Driven Human Image Generation
Generating human images from open-vocabulary text descriptions is an exciting but challenging task. Previous methods (i.e., Text2Human) face two challenging problems: (1) they cannot well handle the open-vocab...
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Few-shot classification with intra-class co-salient learning and holistic metric
Few-shot learning is to learn to discriminate novel classes from a minimal amount of support images. The core of the matter lies in obtaining effective feature representations from limited samples and measurin...
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Orthogonal integral transform for 3D shape recognition with few examples
3D shape recognition with few examples is crucial for applications involving 3D scenes, but typical methods based on surface and view suffer the failure to describe the interior and exterior features uniformly...
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A local global attention based spatiotemporal network for traffic flow forecasting
Accurate traffic forecasting is critical to improving the safety, stability, and efficiency of intelligent transportation systems. Although many spatiotemporal analysis methods have been proposed, accurate tra...
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Photovoltaic glass edge defect detection based on improved SqueezeNet
With the global energy shortage, countries all over the world are vigorously develo** new energy sources, and photovoltaic glass, as an important raw material for photovoltaic power generation, puts forward ...
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Ordinal information based facial expression intensity estimation for emotional interaction: a novel semi-supervised deep learning approach
Emotional understanding and expression plays a critical role in social interaction. To analyze children’s emotional interaction automatically, this study focuses on develo** a novel network architecture and ...
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Article
Cluster weighted model based on TSNE algorithm for high-dimensional data
Cluster-weighted models (CWMs) are an important class of machine learning models that are commonly used for modelling complex datasets. However, they are known to suffer from reduced computing efficiency and e...
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MFMDet: multi-scale face mask detection using improved Cascade rcnn
Masks have the function of blocking harmful particles, gases, odors, droplets, viruses and other substances. When respiratory infectious diseases are prevalent, wearing masks can effectively reduce the spread ...
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Resolution-sensitive self-supervised monocular absolute depth estimation
Depth estimation is an essential component of computer vision applications for environment perception, 3D reconstruction and scene understanding. Among the available methods, self-supervised monocular depth es...
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Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems
This research aims to identify the types of users’ subjective preferences in smart home systems and build respective strategies to improve user satisfaction. Forty-one Q samples were collected and screened usi...
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Open AccessRII-GAN: Multi-scaled Aligning-Based Reversed Image Interaction Network for Text-to-Image Synthesis
The text-to-image (T2I) model based on a single-stage generative adversarial network (GAN) has significantly succeeded in recent years. However, the generation model based on GAN has two disadvantages: the gen...
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Open AccessGated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
Accurate prediction of traffic flow plays an important role in maintaining traffic order and traffic safety, which is a key task in the application of intelligent transportation systems (ITS). However, the urb...
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Path-based approximate matching of fuzzy spatiotemporal RDF data
As fuzzy spatiotemporal information continuously increases in RDF database, it is challenging to model and query fuzzy spatiotemporal RDF data efficiently and effectively. However, various researches are studi...
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Open AccessKernelFlexSR: a self-adaptive super-resolution algorithm with multi-path convolution and residual network for dynamic kernel enhancement
Machine learning-based image super-resolution (SR) has garnered increasing research interest in recent years. However, there are two issues that have not been adequately addressed. The first issue is that exis...
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SWG: an architecture for sparse weight gradient computation
On-device training for deep neural networks (DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists of three phases, feedforward (FF), backpropagation (BP), an...
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Facial expression intensity estimation using label-distribution-learning-enhanced ordinal regression
Facial expression intensity estimation has promising applications in health care and affective computing, such as monitoring patients’ pain feelings. However, labeling facial expression intensity is a speciali...
