001439802 000__ 06561cam\a2200745\i\4500
001439802 001__ 1439802
001439802 003__ OCoLC
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001439802 020__ $$a9783030871567$$q(electronic bk.)
001439802 020__ $$a3030871568$$q(electronic bk.)
001439802 020__ $$z9783030871550
001439802 020__ $$z303087155X
001439802 0247_ $$a10.1007/978-3-030-87156-7$$2doi
001439802 035__ $$aSP(OCoLC)1268683928
001439802 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001439802 049__ $$aISEA
001439802 050_4 $$aTA1634$$b.I38 2021
001439802 08204 $$a006.3/7$$223
001439802 1112_ $$aICVS (Conference : Computer vision systems)$$n(13th :$$d2021 :$$cOnline)
001439802 24510 $$aComputer vision systems :$$b13th international conference, ICVS 2021 virtual event, September 22-24, 2021 : proceedings /$$cMarkus Vincze, Timothy Patten, Henrik I. Christensen, Lazaros Nalpantidis, Ming Liu (eds.).
001439802 24630 $$aICVS 2021
001439802 264_1 $$aCham :$$bSpringer,$$c[2021]
001439802 264_4 $$c©2021
001439802 300__ $$a1 online resource :$$billustrations (chiefly color)
001439802 336__ $$atext$$btxt$$2rdacontent
001439802 337__ $$acomputer$$bc$$2rdamedia
001439802 338__ $$aonline resource$$bcr$$2rdacarrier
001439802 4901_ $$aLecture notes in computer science ;$$v12899
001439802 4901_ $$aLNCS sublibrary: SL1 - Theoretical computer science and general issues
001439802 500__ $$aInternational conference proceedings.
001439802 500__ $$aIncludes author index.
001439802 5050_ $$aIntro -- Preface -- Organization -- Contents -- Attention Systems -- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields -- 1 Introduction -- 2 Second-Order Channel Attention with Varying Receptive Fields -- 2.1 Second-Order Channel Attention -- 2.2 Dilated Convolutions -- 2.3 Compression Through Dilations -- 2.4 Model Overview -- 3 Experimental Results -- 3.1 Datasets -- 3.2 Implementation -- 3.3 Evaluation -- 4 Conclusion -- References -- MARL: Multimodal Attentional Representation Learning for Disease Prediction -- 1 Introduction
001439802 5058_ $$a2 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
001439802 5058_ $$a4.1 Datasets -- 4.2 Pointing Game Evaluation -- 4.3 Experiment 1: Attribute Localization -- 4.4 Experiment 2: Joint Attribute-Object Localization -- 5 Conclusion -- References -- See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 4 Experimental Evaluation -- 4.1 Dataset and Training -- 4.2 Results -- 5 Conclusion -- References -- Classification and Detection -- Score to Learn: A Comparative Analysis of Scoring Functions for Active Learning in Robotics -- 1 Introduction -- 2 Related Work
001439802 5058_ $$a2.1 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
001439802 5058_ $$a3.4 Supervised Learning Based Analysis -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Results of the Unsupervised Learning Based Analysis -- 4.3 Results of the Supervised Learning Based Analysis -- 5 Conclusions and Future Work -- References -- Object Detection on TPU Accelerated Embedded Devices -- 1 Introduction -- 2 Related Works -- 2.1 Mobile Object Detectors -- 2.2 Embedded Deep Learning -- 3 Methodology -- 3.1 Framework and Quantization -- 3.2 Datasets -- 3.3 Transfer Learning -- 4 Evaluation -- 4.1 Inference Time -- 4.2 Accuracy -- 4.3 Versatility and Training Speed
001439802 506__ $$aAccess limited to authorized users.
001439802 520__ $$aThis book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.
001439802 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 24, 2021).
001439802 650_0 $$aComputer vision$$vCongresses.
001439802 650_0 $$aPattern recognition systems$$vCongresses.
001439802 650_0 $$aComputer graphics$$vCongresses.
001439802 650_6 $$aVision par ordinateur$$vCongrès.
001439802 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès.
001439802 650_6 $$aInfographie$$vCongrès.
001439802 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001439802 655_7 $$aConference papers and proceedings.$$2lcgft
001439802 655_7 $$aActes de congrès.$$2rvmgf
001439802 655_0 $$aElectronic books.
001439802 7001_ $$aVincze, Markus,$$d1965-$$eeditor.
001439802 7001_ $$aPatten, Timothy,$$eeditor.
001439802 7001_ $$aChristensen, H. I.$$q(Henrik I.),$$d1962-$$eeditor.
001439802 7001_ $$aNalpantidis, Lazaros,$$eeditor.
001439802 7001_ $$aLiu, Ming,$$cDr.,$$eeditor.
001439802 830_0 $$aLecture notes in computer science ;$$v12899.
001439802 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
001439802 852__ $$bebk
001439802 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87156-7$$zOnline Access$$91397441.1
001439802 909CO $$ooai:library.usi.edu:1439802$$pGLOBAL_SET
001439802 980__ $$aBIB
001439802 980__ $$aEBOOK
001439802 982__ $$aEbook
001439802 983__ $$aOnline
001439802 994__ $$a92$$bISE