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1. |
Record Nr. |
UNINA9911015630903321 |
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Autore |
Zhao Xin |
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Titolo |
Visual Object Tracking : An Evaluation Perspective / / by Xin Zhao, Shiyu Hu, Xu-Cheng Yin |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (224 pages) |
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Collana |
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Advances in Computer Vision and Pattern Recognition, , 2191-6594 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer vision |
Image processing |
Artificial intelligence |
Machine learning |
Artificial intelligence - Data processing |
Electronic digital computers - Evaluation |
Computer Vision |
Image Processing |
Artificial Intelligence |
Machine Learning |
Data Science |
System Performance and Evaluation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Task Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation. |
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Sommario/riassunto |
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This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by deep learning, challenges such as target deformation and motion persist, exposing a |
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disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. The book is organized into five parts, tracing the evolution of VOT from perceptual to cognitive intelligence, exploring the experimental frameworks utilized in assessments, analyzing the various agents involved, including tracking algorithms and human visual tracking, and dissecting evaluation mechanisms through both machine–machine and human–machine comparisons. Furthermore, it examines the trend toward crafting more human-like task definitions and comprehensive evaluation frameworks to effectively gauge machine intelligence. This book serves as a roadmap for researchers aiming to grasp the bottlenecks in VOT capabilities and comprehend the gaps between current methodologies and human abilities, all geared toward advancing algorithmic intelligence. It also delves into the realm of data-centric AI, emphasizing the pivotal role of high-quality datasets and evaluation systems in the age of large language models (LLMs). Such systems are indispensable for training AI models while ensuring their safety and reliability. Utilizing VOT as a case study, the book offers detailed insights into these facets of data-centric AI research. Designed to cater to readers with foundational knowledge in computer vision, it employs diagrams and examples to facilitate comprehension, providing essential groundwork for understanding key technical components. |
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2. |
Record Nr. |
UNINA9910961295703321 |
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Autore |
Zhao Yuepeng |
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Titolo |
China's rural financial system : households' demand for credit and recent reforms / / Yuepeng Zhao |
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Pubbl/distr/stampa |
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New York : , : Routledge, , 2011 |
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ISBN |
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1-136-92991-6 |
1-136-92992-4 |
1-282-93031-1 |
9786612930317 |
0-203-84581-1 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (192 pages) : illustrations |
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Collana |
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Routledge studies on the Chinese economy ; ; 39 |
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Disciplina |
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Soggetti |
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Agricultural credit - China - Jiangxi Sheng |
Rural credit - China - Jiangxi Sheng |
Rural development - China - Jiangxi Sheng |
China Economic conditions |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover -- Title -- Copyright -- Contents -- Tables -- Figures -- Plates -- Foreword -- Preface -- Acknowledgements -- Abbreviations -- 1 San nong problems and the challenges of the rural financial system in China -- 2 Literature gap and research objectives -- 3 Fieldwork villages, procedures and the RCCs pilot program in Jiangxi province -- 4 Households indebtedness and borrowing behaviour in the natural village of Yao -- 5 Households indebtedness and borrowing behaviour in the natural village of Wulitang -- 6 Households indebtedness and borrowing behaviour in the natural village of Xiaobu -- 7 Analytical summary of the three villages -- 8 Conclusion -- Appendix -- Notes -- Bibliography -- Index. |
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Sommario/riassunto |
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This book examines the credit needs and the borrowing behaviour of rural households in China in recent years. It is based on in-depth analysis of the status of households' indebtedness and borrowing behaviour; the performance of Rural Credit Cooperatives (RCCs), as well as resources of informal finance. Before 2006, RCCs are virtually the |
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only source of formal credit for rural households in China and were subject to a series of reforms from 1996 to 2003. The reforms aimed to transform RCCs into market-oriented institutions and, more importantly, help them meet the increasing demands of farmers for varied financial services, and thereby contribute effectively to economic transformation in rural China. Based on a micro-study of three villages, at different stages of development with dissimilar economic characteristics in Jiangxi province, this book investigates the sources of finance, formal and informal, in rural areas and the different types of credit that farmers require. It examines the patterns of credit required by rural households at different stages of agricultural processes, and the institutions from which they obtain loans. It demonstrates the importance of innovative institutional arrangements in rural China and new instruments that give farmers access to formal rural financial markets and enable them to utilize credit effectively, concluding that further reforms to RCCs are necessary for RCCs to be truly effective. |
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