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Computer Vision - ACCV 2020 Workshops
Details
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030697556
- Auflage 1st edition 2021
- Editor Bohyung Han, Imari Sato
- Sprache Englisch
- Genre Anwendungs-Software
- Größe H235mm x B155mm x T12mm
- Jahr 2021
- EAN 9783030697556
- Format Kartonierter Einband
- ISBN 303069755X
- Veröffentlichung 24.02.2021
- Titel Computer Vision - ACCV 2020 Workshops
- Untertitel 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers
- Gewicht 324g
- Herausgeber Springer International Publishing
- Anzahl Seiten 208
- Lesemotiv Verstehen