the study of computergraphics, image design and visual communication design is the study of the visual appearance of objects, images or scenes. It relates to various techniques for creating these appearances. these t...
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High technologies are applicable in orthodontics at every stage: diagnosis, treatment planning, design and production of treatment devices;patient file storage;constant performance analysis and development forecast. I...
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this paper examines currently available programs with regard to their suitability for use in design Review. Required functions were derived and classified based on scientific studies. this classification served as a b...
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In passive sonar system, it's always a challenge to accomplish multi-target data association. We propose a remedy for this problem by using a frequency feature-aided data association algorithm to track targets'...
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Realistic rendering involves the creation of visually realistic images through computergraphics techniques, commonly applied in fields such as film, video games, and computer-aideddesign. Recent advancements in mode...
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this study examines the significant advancements in computergraphics and mechanical drawing, with an emphasis on how these developments have revolutionised engineering design precision and visualisation. For engineer...
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the use of computer-aided methods for the design of parts that must meet functional or stability requirements typically consists of an iterative cycle of design, physical simulation and testing or analysis, followed b...
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Artificial intelligence has been more and more used in recent years, including computer-aided diagnosis systems. the published scientific papers increased exponentially, making it hard to follow new trends or to apply...
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Occluded person re-identification (ReID) is a challenging computer vision task in which the goal is to identify specific pedestrians in occluded scenes across different devices. Some existing methods mainly focus on d...
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ISBN:
(数字)9789819996667
ISBN:
(纸本)9789819996650;9789819996667
Occluded person re-identification (ReID) is a challenging computer vision task in which the goal is to identify specific pedestrians in occluded scenes across different devices. Some existing methods mainly focus on developing effective data augmentation and representation learning techniques to improve the performance of person ReID systems. However, existing data augmentation strategies can not make full use of the information in the training data to accurately simulate the occlusion scenario, resulting in poor generalization ability. Additionally, recent Vision Transformer (ViT)-based methods have been shown beneficial for addressing occluded person ReID as they have powerful representation learning ability, but they always ignore the information fusion between different levels of features. To alleviate these two issues, an improved ViT-based framework called Parallel Dense Vision Transformer and Augmentation Network (PDANet) is proposed to extract well and robustly features. We first design a parallel data augmentation strategy based on random stripe erasure to enrich the diversity of input sample for better cover real scenes through various processing methods, and improve the generalization ability of the model by learning the relationship between these different samples. We then develop a Densely Connected Vision Transformer (DCViT) module for feature encoding, which strengthens the feature propagation and improves the effectiveness of learning by establishing connections between different layers. Experimental results demonstrate the proposed method outperforms the existing methods on boththe occluded person and the holistic person ReID benchmarks.
Withthe rapid development of aviation industry, the obstacle avoidance challenges faced by aircraft in flight missions have become more severe. In order to improve flight safety, autonomous obstacle avoidance and col...
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