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IAFPN: interlayer enhancement and multilayer fusion network for object detection
Feature pyramid network (FPN) improves object detection performance by means of top-down multilevel feature fusion. However, the current FPN-based...
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An uncertainty-aware domain adaptive semantic segmentation framework
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the...
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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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CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media
Social media has effectively shortened the time for the distribution of information, which sometimes carry news when compared to traditional methods....
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Robust seamless GEO scanning control strategy for airborne electro-optical/infrared reconnaissance systems
Airborne electro-optical/infrared reconnaissance systems could scan a large area by using an array detector and stitching the image sequence to...
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Truncated loss-based Res2Net for non-Gaussian noise removal
Many current image denoising works focus on Gaussian noise removal. However, in many real-life applications, the noise in an image can follow...
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A fast verifiable fully homomorphic encryption technique for secret computation on cloud data
In the domain of cloud computing, safeguarding the confidentiality and integrity of outsourced sensitive data during computational processes is of...
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GOA-net: generic occlusion aware networks for visual tracking
Occlusion is a frequent phenomenon that hinders the task of visual object tracking. Since occlusion can be from any object and in any shape, data...
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A FairMOT approach based on video recognition for real-time automatic incident detection on expressways
An accurate, fast and real-time expressway automatic incident detection (AID) algorithm can not only reduce the burden of expressway management...
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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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AFS-BM: enhancing model performance through adaptive feature selection with binary masking
We study the problem of feature selection in general machine learning (ML) context, which is one of the most critical subjects in the field....
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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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V-DAFT: visual technique for texture image defect recognition with denoising autoencoder and fourier transform
Texture is the surface qualities and visual attributes of an object, determined by the arrangement, size, shape, density, and proportion of its...
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Multiple unmanned ship coverage and exploration in complex sea areas
This study addresses the complexities of maritime area information collection, particularly in challenging sea environments, by introducing a...
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Young-gaze: an appearance-based gaze estimation solution for adolescents
According to the World Health Organization survey, the global incidence of adolescent mental illness is 28%, while the disease detection rate is only...
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Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
The findings of this investigation give a novel approach to the forecasting of heart disease. For the purpose of determining significant features, it...
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A lightweight attention-based network for image dehazing
In current convolution-based image dehazing networks, increasing the depth and width of convolutional layers is a common strategy to improve network...
