| TÃtulo : |
4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV |
| Tipo de documento: |
documento electrónico |
| Autores: |
Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XIX, 577 p. 219 ilustraciones, 202 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-88013-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. |
| Nota de contenido: |
Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV [documento electrónico] / Ma, Huimin, ; Wang, Liang, ; Zhang, Changshui, ; Wu, Fei, ; Tan, Tieniu, ; Wang, Yaonan, ; Lai, Jianhuang, ; Zhao, Yao, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 577 p. 219 ilustraciones, 202 ilustraciones en color. ISBN : 978-3-030-88013-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Red informática Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Inteligencia artificial Visión por computador Application software IngenierÃa Informática |
| Ãndice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de cuatro volúmenes LNCS 13019, 13020, 13021 y 13022 constituye las actas arbitradas de la 4.ª Conferencia China sobre reconocimiento de patrones y visión por computadora, PRCV 2021, celebrada en Beijing, China, en octubre-noviembre de 2021. Los 201 artÃculos completos presentados fueron cuidadosamente revisado y seleccionado entre 513 presentaciones. Los artÃculos se han organizado en las siguientes secciones temáticas: Detección, seguimiento y reconocimiento de objetos; Visión por Computador, TeorÃas y Aplicaciones, Procesamiento y Análisis Multimedia; Procesamiento de imágenes y visión de bajo nivel; Procesamiento y Análisis de Imágenes Biomédicas; Aprendizaje automático, redes neuronales y aprendizaje profundo, y nuevos avances en la percepción y comprensión visual. |
| Nota de contenido: |
Machine Learning, Neural Network and Deep Learning -- Edge-Wise One-Level Global Pruning on NAS generated networks -- Convolution Tells Where to Look -- Robust Single-step Adversarial Training with Regularizer -- Texture-guided U-Net for OCT-to-OCTA Generation -- Learning Key Actors and Their Interactions for Group Activity Recognition -- Attributed Non-negative Matrix Multi-Factorization for Data Representation -- Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels -- A Residual Correction Approach for Semi-supervised Semantic Segmentation -- Hypergraph Convolutional Network with Hybrid Higher-order Neighbors -- Text-Aware Single Image Specular Highlight Removal -- Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model -- A Competition of Shape and Texture Bias by Multi-View Image Representation -- Learning Indistinguishable and Transferable Adversarial Examples -- Efficient Object Detection and Classification of Ground Objects fromThermal Infrared Remote Sensing Image Based on Deep Learning -- MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search -- Adversarial Decoupling for Weakly Supervised Semantic Segmentation -- Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark -- Efficient and real-time particle detection via encoder-decoder network -- Flexible Projection Search using Optimal Re-weighted Adjacency for Unsupervised Manifold Learning -- Fabric Defect Detection via Multi-scale Feature Fusion-based Saliency -- Improving Adversarial Robustness of Detectors via Objectness Regularization -- IPE Transformer for Depth Completion with Input-Aware Positional Embeddings -- Enhanced Multi-view Matrix Factorization with Shared Representation -- Multi-level Residual Attention Network for Speckle Suppression -- Suppressing Style-Sensitive Features via Randomly Erasing for Domain Generalizable Semantic Segmentation -- MAGAN: Multi-Attention Generative Adversarial Networks for Text-to-Image Generation -- Dual Attention Based Network with Hierarchical ConvLSTM for Video Object Segmentation -- Distance-based Class Activation Map for Metric Learning -- Reading Pointer Meter through One Stage End-to-End Deep Regression -- Deep Architecture Compression with Automatic Clustering of Similar Neurons -- Attention Guided Spatio-temporal Artifacts Extraction for Deepfake Detection -- Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network -- Anti-occluded person re-identification via pose restoration and dual channel feature distance measurement -- Dynamic Runtime Feature Map Pruning -- Special Session: New Advances in Visual Perception and Understanding -- Multi-Branch Graph Network for Learning Human-Object Interaction -- FDEA: Face Dataset with Ethnicity Attribute -- TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing -- Feature Matching Network for Weakly-Supervised Temporal Action Localization -- LiDAR-based symmetrical guidance for 3D Object Detection -- Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement -- Couple Double-Stage FPNs with Single Pipe-line for solar speckle images deblurring -- Multi-scale Image Partitioning and Saliency Detection for Single Image Blind Deblurring -- CETransformer: Casual Effect Estimation via Transformer Based Representation Learning -- An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training -- Invertible Image Compressive Sensing -- Gradient-free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |