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Computer Vision - ACCV 2020 Workshops

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  • 199 Seiten
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This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vi... Weiterlesen
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Beschreibung

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.



Inhalt

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.

Produktinformationen

Titel: Computer Vision - ACCV 2020 Workshops
Untertitel: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers
Editor:
EAN: 9783030697563
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: Anwendungs-Software
Veröffentlichung: 23.02.2021
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 39.74 MB
Anzahl Seiten: 199

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