Video Efficient Foundation Models
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Video Efficient Foundation Models
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Author : Fida Mohammad Thoker
language : en
Publisher:
Release Date : 2023
Video Efficient Foundation Models written by Fida Mohammad Thoker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
"The thesis strives to endow video -efficiency in video understanding by addressing the research question '' What enables video- efficient video foundation models ?'' Video -efficiency encompasses developing video foundation models that are not only accurate but also exhibit label-efficiency i.e. require fewer labels, domain-efficiency i.e. applicable to a variety of video learning scenarios, and data-efficiency i.e. reduce the amount of video data needed for learning. The research question is addressed for RGB and non-RGB video modalities. In Chapter 2, we focus on improving the label- and domain-efficiency of non-RGB action recognition and detection. Chapter 3 introduces a new self-supervised approach for learning feature representations for 3D-skeleton video sequences. In Chapter 4, we conduct a large-scale study of existing RGB-based self-supervised video models to assess their performance across different facets of video -efficiency. Chapter 5 presents a new method for video self-supervision that explicitly aims to learn motion focused video -representations. To summarize, this thesis presents several novel approaches to improve the video -efficiency of video foundation models . Our research highlights the importance of transferring knowledge between RGB and non-RGB video modalities, exploring self- supervision for non- RGB video modeling, analyzing self-supervised models beyond canonical setups and carefully designing new self-supervised tasks to develop video foundation models that can exhibit different facets of video -efficiency. We hope that our work will inspire further research and development in this area, leading to even more video- efficient foundation models."--
Deep Learning For Video Understanding
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Author : Zuxuan Wu
language : en
Publisher: Springer Nature
Release Date :
Deep Learning For Video Understanding written by Zuxuan Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Medical Image Computing And Computer Assisted Intervention Miccai 2023
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Author : Hayit Greenspan
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Medical Image Computing And Computer Assisted Intervention Miccai 2023 written by Hayit Greenspan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Computers categories.
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Ecai 2023
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Author : K. Gal
language : en
Publisher: IOS Press
Release Date : 2023-10-18
Ecai 2023 written by K. Gal and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Computers categories.
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
Multimedia Modeling
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Author : Stevan Rudinac
language : en
Publisher: Springer Nature
Release Date :
Multimedia Modeling written by Stevan Rudinac and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The Efficiency And Creativity Of Product Development
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Author : Fumihiko Ikuine
language : en
Publisher: Springer Nature
Release Date : 2022-01-21
The Efficiency And Creativity Of Product Development written by Fumihiko Ikuine and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Business & Economics categories.
This is the first book that comprehensively describes the history of the game software industry in Japan. A major objective here is to identify the key determinants of the emergence of the business, the maturing of the market, and the changes brought about by innovations, based on the history of the Japanese industry. To date, similar books have focused only on particular topics of the game software industry, such as the success of Nintendo and Sony and the uniqueness of the Japanese industry. There are no books that interpret the development process of this industry from the point of view of innovation. To fully understand the business and derive insightful lessons from it, however, requires a careful and thorough examination of its development process. Currently, many companies aim to improve efficiency by using information and communications technology (ICT), but it is difficult to maintain a balance between the pursuit of efficiency and the encouragement of creativity. In the case of Japan’s game software industry, firms have pursued higher efficiency in product development to build competitive advantage, resulting in a low rate of radical innovation and causing the slow growth of the industry. In certain situations, the development activities that target the creation of new products may, in themselves, hinder the creation of truly new products. This book conceptualizes this phenomenon as a “development productivity dilemma” and clarifies the mechanisms behind it. The dilemma, like the productivity dilemma in the manufacturing industry, evokes a certain innovation pattern and prevents potential growth. Understanding the lessons from the game software business presented in this book, managers, researchers, and policymakers can gain insight into the mechanisms leading to industrial maturity and clues to avoid the development productivity dilemma.
Advances In Multimedia Modeling
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Author : Tat-Jen Cham
language : en
Publisher: Springer
Release Date : 2007-07-07
Advances In Multimedia Modeling written by Tat-Jen Cham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-07 with Computers categories.
The two volume set LNCS 4351 and LNCS 4352 constitutes the refereed proceedings of the 13th International Multimedia Modeling Conference, MMM 2007, held in Singapore in January 2007. Based on rigorous reviewing, the program committee selected 123 carefully revised full papers of the main technical sessions and 33 revised full papers of four special sessions from a total of 392 submissions for presentation in two volumes.
Efficient Event Understanding In Videos And Language
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Author : Shyamal Deep Buch
language : en
Publisher:
Release Date : 2022
Efficient Event Understanding In Videos And Language written by Shyamal Deep Buch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
The visual world offers a smorgasbord of interesting events: human-object interactions, dynamic visual relationships, and activities of daily living. The ability to comprehend them is critical to the development of real-world, interactive AI systems. However, making sense of these events as humans do -- from a continuous and high-volume sensory stream in an efficient and effective manner -- remains a daunting endeavor. The challenges are chiefly two-fold. First, videos are computationally expensive to process; we need more than traditional extensions of systems designed for images. Second, videos capture a broad spectrum of event complexity, from low-level action primitives to higher-order spatiotemporal relationships; we need techniques to learn these semantics from natural language without expensive, dense annotations. This dissertation presents several research contributions aimed at addressing these challenges. First, we will discuss new architectures for recognizing actions in videos, which learn how to allocate a fixed computation budget to improve efficiency-accuracy by an order of magnitude over traditional techniques. Second, we will present new frameworks that advance our capability for efficiently learning about dense visual events from weak natural language supervision, including settings where language is not well-structured or contains ambiguous coreferences. Finally, we will discuss how a novel technique, leveraging progress in multimodal foundation models, reveals fundamental insights into pressing challenges and opportunities for deeper temporal event understanding with improved efficiency.
Foundation Models For Natural Language Processing
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Author : Gerhard Paaß
language : en
Publisher: Springer Nature
Release Date : 2023-05-23
Foundation Models For Natural Language Processing written by Gerhard Paaß and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Computers categories.
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Computer Vision Eccv 2022
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Author : Shai Avidan
language : en
Publisher: Springer Nature
Release Date : 2022-10-28
Computer Vision Eccv 2022 written by Shai Avidan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-28 with Computers categories.
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
