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Intersecting realms: a cross-disciplinary examination of VR quality of experience research
The advent of virtual reality (VR) technology has necessitated a reevaluation of quality of experience (QoE) models. While numerous recent efforts...
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Smart contract vulnerabilities detection with bidirectional encoder representations from transformers and control flow graph
Up to now, the smart contract vulnerabilities detection methods based on sequence modal data and sequence models have been the most commonly used....
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Real-time and secure identity authentication transmission mechanism for artificial intelligence generated image content
The rapid development of generative artificial intelligence technology and large-scale pre-training models has led to the emergence of artificial...
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance...
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A novel single kernel parallel image encryption scheme based on a chaotic map
The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one...
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Usability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such...
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Continual few-shot patch-based learning for anime-style colorization
The automatic colorization of anime line drawings is a challenging problem in production pipelines. Recent advances in deep neural networks have...
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The impact of virtual and augmented reality on presence, user experience and performance of Information Visualisation
The fast growth of virtual reality (VR) and augmented reality (AR) head-mounted displays provides a new medium for interactive visualisations and...
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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection....
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic...
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A three-stage quality evaluation method for experience products: taking animation as an example
The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
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Recent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like...
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Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN
Recently, learned image compression (LIC) has shown significant research potential. Most existing LIC methods are CNN-based or transformer-based or...
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Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions...
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A multi-scale no-reference video quality assessment method based on transformer
Video quality assessment is essential for optimizing user experience, enhancing network efficiency, supporting video production and editing,...
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ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
In recent years, visual question answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance,...
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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision....
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Deep learning based features extraction for facial gender classification using ensemble of machine learning technique
Accurate and efficient gender recognition is an essential for many applications such as surveillance, security, and biometrics. Recently, deep...
