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PTIFNet: Pseudo-Twin network for multi-focus image fusion
In this paper, we propose a multi-focus image fusion network based on the classical pseudo-twin two-branch network, called PTIFNet, which can...
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Enhancement of damaged-image prediction based on digital twin technology
Digital twins have revolutionized the field of image enhancement by applying their unique capabilities. A digital twin refers to a virtual replica of...
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Twin-stage Unet-like network for single image deraining
The performance of visual processing is commonly constrained in extreme outside weather such as heavy rain. Rain streaks may substantially damage...
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Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
Hyperspectral imaging is highly important with respect to the detection, identification and classification of various natural resources—minerals,...
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Twin-image suppression in digital in-line holography based on wave-front filtering
Digital holography is an imaging process able to recreate three-dimensional representations of objects from recording pattern interference among...
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Cross-type image similarity measurement
At this stage, due to the different methods of expressing attribute characteristics between cross-type images, the performance measurement accuracy...
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Auto focusing of in-Line Holography based on Stacked Auto Encoder with Sparse Bayesian Regression and Compressive Sensing
In recent years, Digital holography has emerged as an exceptional imaging technology for tracking high-contrast object particles and, interestingly,...
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Novel transfer learning schemes based on Siamese networks and synthetic data
Transfer learning schemes based on deep networks which have been trained on huge image corpora offer state-of-the-art technologies in computer...
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Digital Twin Model Based Robot-Assisted Needle Insertion Navigation System with Visual and Force Feedback
In needle insertion navigation, most researches focus on intraoperative images based navigation system that provides only visual feedback. Besides,...
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Edge detection using multi-scale closest neighbor operator and grid partition
Edge detection is one of the most fundamental and critical operations in image analysis and computer vision. This paper proposes an adaptive edge...
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Twin Contrastive Learning for Online Clustering
This paper proposes to perform online clustering by conducting twin contrastive learning (TCL) at the instance and cluster level. Specifically, we...
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Explainable deep learning for image-driven fire calorimetry
The rapid advancement of deep learning and computer vision has driven the intelligent evolution of fire detection, quantification and fighting,...
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Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification
Multi-task learning (MTL) has been gradually developed to be a quite effective method recently. Different from the single-task learning (STL), MTL...
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TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval
In this paper, we focus on a critical task of retrieving common style in Chinese scene text: given an image of style text, the system returns all the...
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Pinball loss-based multi-task twin support vector machine and its safe acceleration method
Direct multi-task twin support vector machine (DMTSVM) performs well in handling multiple related tasks. But it is sensitive to noise points due to...
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Recognition of identical twins based on the most distinctive region of the face: Human criteria and machine processing approaches
Face recognition domain has been well advanced and has achieved high accuracies in identification of individuals in recent years. But in practice,...
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Adversarial balancing-based representation learning for causal effect inference with observational data
Learning causal effects from observational data greatly benefits a variety of domains such as health care, education, and sociology. For instance,...
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Research on Control of Virtual and Real Drive System of Intelligent Factory Robot Based on Digital Twin
Traditional virtual and real robot drive systems use management methods, but due to the impact of the production environment, the system’s command...
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A real-time person tracking system based on SiamMask network for intelligent video surveillance
Real-time video surveillance systems are widely deployed in various environments, including public areas, commercial buildings, and public...
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Classification of brain MR images using Modified version of Simplified Pulse-Coupled Neural Network and Linear Programming Twin Support Vector Machines
The automated and accurate detection of brain tumors is challenging for classifying brain Magnetic Resonance (MR) images. The conventional techniques...
