Author: Yinqiang Zheng
Publisher: Springer Nature
ISBN: 3031270665
Category : Computers
Languages : en
Pages : 382
Book Description
This book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. The 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.
Computer Vision – ACCV 2022 Workshops
Author: Yinqiang Zheng
Publisher: Springer Nature
ISBN: 3031270665
Category : Computers
Languages : en
Pages : 382
Book Description
This book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. The 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.
Publisher: Springer Nature
ISBN: 3031270665
Category : Computers
Languages : en
Pages : 382
Book Description
This book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. The 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.
Computer Vision – ACCV 2024
Author: Minsu Cho
Publisher: Springer Nature
ISBN: 9819609011
Category :
Languages : en
Pages : 521
Book Description
Publisher: Springer Nature
ISBN: 9819609011
Category :
Languages : en
Pages : 521
Book Description
Computer Vision – ECCV 2024
Author: Aleš Leonardis
Publisher: Springer Nature
ISBN: 3031726677
Category :
Languages : en
Pages : 577
Book Description
Publisher: Springer Nature
ISBN: 3031726677
Category :
Languages : en
Pages : 577
Book Description
Computer Vision – ECCV 2024
Author: Aleš Leonardis
Publisher: Springer Nature
ISBN: 3031732235
Category :
Languages : en
Pages : 596
Book Description
Publisher: Springer Nature
ISBN: 3031732235
Category :
Languages : en
Pages : 596
Book Description
Computer Vision – ECCV 2022
Author: Shai Avidan
Publisher: Springer Nature
ISBN: 303120056X
Category : Computers
Languages : en
Pages : 801
Book Description
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.
Publisher: Springer Nature
ISBN: 303120056X
Category : Computers
Languages : en
Pages : 801
Book Description
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.
Pattern Recognition and Computer Vision
Author: Qingshan Liu
Publisher: Springer Nature
ISBN: 9819985528
Category : Computers
Languages : en
Pages : 533
Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Publisher: Springer Nature
ISBN: 9819985528
Category : Computers
Languages : en
Pages : 533
Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Neural Information Processing
Author: Biao Luo
Publisher: Springer Nature
ISBN: 9819980739
Category : Computers
Languages : en
Pages : 621
Book Description
The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Publisher: Springer Nature
ISBN: 9819980739
Category : Computers
Languages : en
Pages : 621
Book Description
The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Artificial Neural Networks and Machine Learning – ICANN 2024
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723384
Category :
Languages : en
Pages : 483
Book Description
Publisher: Springer Nature
ISBN: 3031723384
Category :
Languages : en
Pages : 483
Book Description
Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
ISBN: 981999442X
Category :
Languages : en
Pages : 792
Book Description
Publisher: Springer Nature
ISBN: 981999442X
Category :
Languages : en
Pages : 792
Book Description
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Author: Kalb, Tobias Michael
Publisher: KIT Scientific Publishing
ISBN: 3731513730
Category :
Languages : en
Pages : 236
Book Description
Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.
Publisher: KIT Scientific Publishing
ISBN: 3731513730
Category :
Languages : en
Pages : 236
Book Description
Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.