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008			210223s2021 gw a o |1|| 0|eng d
020			_a9783030697563
024	7		_a10.1007/978-3-030-69756-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1634 _b2021 EB
245	0	0	_aComputer vision - ACCV 2020 Workshops : _b15th Asian Conference on Computer Vision Kyoto, Japan, November 30 - December 4, 2020 Revised Selected Papers _cedited by Imari Sato, Bohyung Han
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (VIII, 199 páginas) _b79 ilustraciones, 68 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aImage Processing Computer Vision Pattern Recognition and Graphics ; _v12628
505	0		_aSpatial 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.
520	3		_aThis 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.
988			_aSpringer_Computer_2021
650		7	_2embne _aVisión por ordenador _vCongresos y asambleas _9159793
650		7	_2embne _aReconocimiento de formas _vCongresos y asambleas _9152614
700	1		_aSato, Imari _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHan, Bohyung _eeditor literario _0(orcid)0000-0003-3099-3616 _1https://orcid.org/0000-0003-3099-3616 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-69756-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2021 _dz _eb _zSI