Visual Concept For Foreground And Background Objects Using Deep Lab
DOWNLOAD
Download Visual Concept For Foreground And Background Objects Using Deep Lab PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Visual Concept For Foreground And Background Objects Using Deep Lab book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Visual Concept For Foreground And Background Objects Using Deep Lab
DOWNLOAD
Author : Seyed Ali Mousavi
language : en
Publisher:
Release Date : 2018
Visual Concept For Foreground And Background Objects Using Deep Lab written by Seyed Ali Mousavi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
We are interested in studying the application of computer vision and visual clusters on creating both foreground and background objects. This is motivated by the observation that deep neural networks learn context as part of the objects. Therefore, by having a dictionary of parts for both foreground and background objects we can capture objects in occluded settings and separate the foreground from the background. Our work makes further contribution by having one network for both foreground and background objects rather than having multiple networks for multiple set of objects. We have demonstrated that a combination of the right network architecture and clustering algorithm can create visual concepts that can be used for both foreground and background objects.
Towards Recognizing New Semantic Concepts In New Visual Domains
DOWNLOAD
Author : Massimiliano Mancini
language : en
Publisher: Sapienza Università Editrice
Release Date : 2022-11-30
Towards Recognizing New Semantic Concepts In New Visual Domains written by Massimiliano Mancini and has been published by Sapienza Università Editrice this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Computers categories.
Despite being the leading paradigm in computer vision, deep neural networks are inherently limited by the visual and semantic information contained in their training set. In this thesis, we aim to design deep models operating with previously unseen visual domains and semantic concepts. We first describe different solutions for generalizing to new visual domains, applying variants of normalization layers to multiple challenging settings e.g. where new domain data is not available but arrives online or is described by metadata. In the second part, we incorporate new semantic concepts into pretrained deep models. We propose specific solutions for different problems such as multi-task/incremental learning and open-world recognition. Finally, we merge the two challenges: given images of multiple domains and categories, can we recognize unseen concepts in unseen domains? We propose an approach that is the first, promising step, towards solving this problem. Winner of the Competition “Prize for PhD Thesis 2020” arranged by Sapienza University Press.
Frontiers Of Computer Vision
DOWNLOAD
Author : Hieyong Jeong
language : en
Publisher: Springer Nature
Release Date : 2021-07-14
Frontiers Of Computer Vision written by Hieyong Jeong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Computers categories.
This book constitutes refereed proceedings of the 27th International Workshop Frontiers of Computer Vision, IW-FCV 2021, held in Daegu, South Korea, in February 2021. The 17 full papers and 8 short papers presented were thoroughly reviewed and selected from 44 submissions. The papers in the volume are organized according to the following topics: real-world applications; segmentation / object tracking; recognition; human behaviour; algorithm / application.
Advanced Concepts For Intelligent Vision Systems
DOWNLOAD
Author : Jacques Blanc-Talon
language : en
Publisher: Springer
Release Date : 2018-09-24
Advanced Concepts For Intelligent Vision Systems written by Jacques Blanc-Talon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, held in Poitiers, France, in September 2018. The 52 full papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: video analysis; segmentation and classification; remote sending; biometrics; deep learning; coding and compression; and image restauration and reconstruction.
Digital Imagery And Informational Graphics In E Learning Maximizing Visual Technologies
DOWNLOAD
Author : Hai-Jew, Shalin
language : en
Publisher: IGI Global
Release Date : 2009-11-30
Digital Imagery And Informational Graphics In E Learning Maximizing Visual Technologies written by Hai-Jew, Shalin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-30 with Computers categories.
"The information contained within this book will show that although the development and selection of instructional materials is generally done towards the end of the instructional design process, it must be viewed in a more inclusive way in that the visuals themselves may affect many other components of the educational design"--Provided by publisher.
Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture
DOWNLOAD
Author : Huajian Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-18
Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture written by Huajian Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Science categories.
Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.
Progress In Pattern Recognition Image Analysis Computer Vision And Applications
DOWNLOAD
Author : Verónica Vasconcelos
language : en
Publisher: Springer Nature
Release Date : 2023-12-28
Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Verónica Vasconcelos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-28 with Computers categories.
This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.
Computer Vision Eccv 2022
DOWNLOAD
Author : Shai Avidan
language : en
Publisher: Springer Nature
Release Date : 2022-10-21
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 2022-10-21 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.
Computer Vision Eccv 2020
DOWNLOAD
Author : Andrea Vedaldi
language : en
Publisher: Springer Nature
Release Date : 2020-11-03
Computer Vision Eccv 2020 written by Andrea Vedaldi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 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.
Computer Vision And Graphics
DOWNLOAD
Author : Leszek J. Chmielewski
language : en
Publisher: Springer Nature
Release Date : 2023-02-10
Computer Vision And Graphics written by Leszek J. Chmielewski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Technology & Engineering categories.
This book contains 17 papers presented at the conference devoted to cutting-edge technologies and concepts related to image processing. A broad collection of problems including man–machine interfaces, comparison of quantum and conventional computing in deep learning, medical image processing, image segmentation, face recognition, outdoor scene analysis, image rendering and colorization, map generation, traffic analysis, hardware acceleration, data association, and visual cryptography is investigated. Research on these issues is important, among others due to that large amounts of video data are collected continually. They can be easily stored, but their analysis is still a challenge. The book is primarily intended for researchers and practitioners in image analysis and generation, as well as for students in the fields related to computer science. However, any reader interested in the subject matter of the book will find some chapters interesting and valuable.