| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Lecture notes in computer science ; 12899 |
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LNCS sublibrary: SL1 - Theoretical computer science and general issues |
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Lecture notes in computer science ; 12899.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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| Contents |
Intro -- Preface -- Organization -- Contents -- Attention Systems -- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields -- 1 Introduction -- 2 Second-Order Channel Attention with Varying Receptive Fields -- 2.1 Second-Order Channel Attention -- 2.2 Dilated Convolutions -- 2.3 Compression Through Dilations -- 2.4 Model Overview -- 3 Experimental Results -- 3.1 Datasets -- 3.2 Implementation -- 3.3 Evaluation -- 4 Conclusion -- References -- MARL: Multimodal Attentional Representation Learning for Disease Prediction -- 1 Introduction |
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2 Related Work -- 3 Multimodal Attentional Representation Learning -- 3.1 Preprocessing -- 3.2 Lung Segmentation with Spatial Fuzzy C-Means -- 3.3 Patient Biological Data Enrichment -- 3.4 Multimodal Representation Learning -- 4 Experimental Work -- 4.1 IPF Lung Disease Dataset -- 4.2 Regression of IPF Lung Disease Progression -- 4.3 IPF Disease Status Classification -- 5 Conclusion -- References -- Object Localization with Attribute Preference Based on Top-Down Attention -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Deep Attribute Network -- 3.2 Top-Down Attention -- 4 Experiments |
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4.1 Datasets -- 4.2 Pointing Game Evaluation -- 4.3 Experiment 1: Attribute Localization -- 4.4 Experiment 2: Joint Attribute-Object Localization -- 5 Conclusion -- References -- See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 4 Experimental Evaluation -- 4.1 Dataset and Training -- 4.2 Results -- 5 Conclusion -- References -- Classification and Detection -- Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics -- 1 Introduction -- 2 Related Work |
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2.1 Deep Learning Based Object Detection -- 2.2 Weakly-Supervised Learning of Object Detection -- 3 Methods -- 3.1 Overview of the Pipeline -- 3.2 Scoring Functions -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results Analysis on Pascal VOC -- 4.3 Results Analysis on iCWT -- 5 Discussion -- References -- Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps -- 1 Introduction -- 2 Literature Review on Indoor-Outdoor Image Classification -- 3 Methodology -- 3.1 Data Set -- 3.2 Feature Extraction -- 3.3 Unsupervised Learning-Based Analysis |
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3.4 Supervised Learning Based Analysis -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Results of the Unsupervised Learning Based Analysis -- 4.3 Results of the Supervised Learning Based Analysis -- 5 Conclusions and Future Work -- References -- Object Detection on TPU Accelerated Embedded Devices -- 1 Introduction -- 2 Related Works -- 2.1 Mobile Object Detectors -- 2.2 Embedded Deep Learning -- 3 Methodology -- 3.1 Framework and Quantization -- 3.2 Datasets -- 3.3 Transfer Learning -- 4 Evaluation -- 4.1 Inference Time -- 4.2 Accuracy -- 4.3 Versatility and Training Speed |
| Summary |
This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed September 24, 2021) |
| Subject |
Computer vision -- Congresses
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Pattern recognition systems -- Congresses
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Computer graphics -- Congresses
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Computer graphics
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Computer vision
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Pattern recognition systems
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Vincze, Markus, 1965- editor.
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Patten, Timothy, editor
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Christensen, H. I. (Henrik I.), 1962- editor.
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Nalpantidis, Lazaros, editor.
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Liu, Ming, Dr., editor.
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| ISBN |
9783030871567 |
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3030871568 |
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