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Titlebook: Image Analysis and Processing. ICIAP 2022 Workshops; ICIAP International Pier Luigi Mazzeo,Emanuele Frontoni,Cosimo Distant Conference pro

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發(fā)表于 2025-3-21 19:53:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image Analysis and Processing. ICIAP 2022 Workshops
副標題ICIAP International
編輯Pier Luigi Mazzeo,Emanuele Frontoni,Cosimo Distant
視頻videohttp://file.papertrans.cn/462/461379/461379.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Processing. ICIAP 2022 Workshops; ICIAP International  Pier Luigi Mazzeo,Emanuele Frontoni,Cosimo Distant Conference pro
描述The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022..The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions..ICIAP 2022 presents the following Sixteen?workshops:.Volume I:.GoodBrother workshop on visual intelligence for active and assisted living.Parts can worth like the Whole - PART 2022.Workshop on Fine Art Pattern Extraction and Recognition - FAPER.Workshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022.Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCADDeep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth.Volume II:?.Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES.Binary is the new Black (and White): Recent Advances on Binary Image Processing.Artificial Intelligence for preterm infants’ healthCare - AI-care.Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP.Artificial Intelligence for Digital Humanities - A
出版日期Conference proceedings 2022
關鍵詞computer networks; computer vision; deep learning; Human-Computer Interaction (HCI); image analysis; imag
版次1
doihttps://doi.org/10.1007/978-3-031-13324-4
isbn_softcover978-3-031-13323-7
isbn_ebook978-3-031-13324-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461379.jpg
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A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep Learninal discussion about Few-Shot Learning is given, featuring a context-constrained description, a short list of applications, a description of a couple of commonly used techniques and a discussion of the most used benchmarks for FSL computer vision applications. In addition, the paper features a few ex
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Embedded Intelligence for Safety and Security Machine Vision Applicationsions. Deep learning, a subset of AI, is particularly useful for those image processing applications. Deep learning methods can achieve state-of-the-art results on computer vision for image classification, object detection, and face recognition applications. This allows to automate video surveillance
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