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Computer vision - ACCV 2020 Workshop...
~
(1998 :)
Computer vision - ACCV 2020 Workshops15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computer vision - ACCV 2020 Workshopsedited by Imari Sato, Bohyung Han.
其他題名:
15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
其他題名:
ACCV 2020 Workshops
其他作者:
Sato, Imari.
團體作者:
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
viii, 199 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Computer vision
電子資源:
https://doi.org/10.1007/978-3-030-69756-3
ISBN:
9783030697563$q(electronic bk.)
Computer vision - ACCV 2020 Workshops15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
Computer vision - ACCV 2020 Workshops
15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /[electronic resource] :ACCV 2020 Workshopsedited by Imari Sato, Bohyung Han. - Cham :Springer International Publishing :2021. - viii, 199 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,126280302-9743 ;. - Lecture notes in computer science ;4891..
Spatial and Channel Attention Modulated Network for Medical Image Segmentation -- Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution -- Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors -- G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait -- Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN -- BdSL36: A Dataset for Bangladeshi Sign Letters Recognition -- 3D Semantic Segmentation for Large-Scale Scene Understanding -- A Weakly Supervised Convolutional Network for Change Segmentation and Classification -- Visible and Thermal Camera-based Jaywalking Estimation using a Hierarchical Deep Learning Framework -- Towards Locality Similarity Preserving to 3D Human Pose Estimation -- Iterative Self-distillation for Precise Facial Landmark Localization -- Multiview Similarity Learning for Robust Visual Clustering -- Real-time Spatio-temporal Action Localization via Learning Motion Representation.
This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU) *The conference and workshops were held virtually.
ISBN: 9783030697563$q(electronic bk.)
Standard No.: 10.1007/978-3-030-69756-3doiSubjects--Topical Terms:
253837
Computer vision
LC Class. No.: TA1634
Dewey Class. No.: 006.37
Computer vision - ACCV 2020 Workshops15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers /
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Spatial and Channel Attention Modulated Network for Medical Image Segmentation -- Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution -- Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors -- G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait -- Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN -- BdSL36: A Dataset for Bangladeshi Sign Letters Recognition -- 3D Semantic Segmentation for Large-Scale Scene Understanding -- A Weakly Supervised Convolutional Network for Change Segmentation and Classification -- Visible and Thermal Camera-based Jaywalking Estimation using a Hierarchical Deep Learning Framework -- Towards Locality Similarity Preserving to 3D Human Pose Estimation -- Iterative Self-distillation for Precise Facial Landmark Localization -- Multiview Similarity Learning for Robust Visual Clustering -- Real-time Spatio-temporal Action Localization via Learning Motion Representation.
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