Título :	Glasgow, UK, August 23–28, 2020, Proceedings, Part V
Tipo de documento:	documento electrónico
Autores:	Bartoli, Adrien, ; Fusiello, Andrea,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2020
Número de páginas:	XXVIII, 752 p. 298 ilustraciones, 283 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-68238-5
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Visión por computador  Aprendizaje automático  Sistemas de reconocimiento de patrones  Software de la aplicacion  Red de computadoras  Reconocimiento de patrones automatizado  Aplicaciones informáticas y de sistemas de información  Redes de comunicación informática
Índice Dewey:	006.37 Visión artificial
Resumen:	El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artículos completos, 18 artículos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artículos tratan diversos temas de visión por computadora. La Parte V incluye: El 16º Taller de Visión Integrada; Visión por computadora del mundo real a partir de insumos con calidad limitada (RLQ); Los lados brillante y oscuro de la visión por computadora: desafíos y oportunidades para la privacidad y la seguridad (CV-COPS 2020); El Taller del Desafío de Seguimiento de Objetos Visuales (VOT 2020); y Prueba de Video Turing: hacia la comprensión de historias en video a nivel humano. .
Nota de contenido:	W27 - The 16th Embedded Vision Workshop -- Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions -- SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation -- Weight-dependent Gates for Differentiable Neural Network Pruning -- QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework -- An Efficient Method for Face Quality Assessment on the Edge -- Efficient Approximation of Filters for High-Accuracy Binary Convolutional Neural Networks -- One Weight Bitwidth to Rule Them All -- Real-time detection of multiple targets from a moving 360 panoramic imager in the wild -- Post Training Mixed-precision Quantization based on Key Layers Selection -- Subtensor Quantization for Mobilenets -- Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules -- W29 - Real-World Computer Vision from Inputs with Limited Quality (RLQ) -- Reinforcement Learning for Improving Object Detection -- Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels -- Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training -- What Does CNN Shift Invariance Look Like? A Visualization Study -- Challenges from Fast Camera Motion and Image Blur: Dataset and Evaluation -- Self-Supervised Attribute-Aware Re nement Network for Low-Quality Text Recognition -- Face Mask Invariant End-to-End Face Recognition -- Visible Feature Guidance for Crowd Pedestrian Detection -- The Impact of Real Rain in a Vision Task -- Hard Occlusions in Visual Object Tracking -- The 1st Tiny Object Detection Challenge: Methods and Results -- Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection -- Exploring Effective Methods to Improve the Performance of Tiny Object Detection -- UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results -- A Dual Residual Network with Channel Attentionfor Image Restoration -- Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images -- Deep Atrous Guided Filter for Image Restoration in Under Display Cameras -- Residual and Dense UNet for Under-display Camera Restoration -- W31 - The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020) -- Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction -- Adversarial Training against Location-Optimized Adversarial Patches -- Revisiting the Threat Space for Vision-based Keystroke Inference Attacks -- Black-Box Face Recovery from Identity Features -- Privacy-Aware Face Recognition with Lensless Multi-Pinhole Camera -- Frequency-Tuned Universal Adversarial Perturbations -- Face-Image Source Generator Identification -- Spatio-Temporal Handwriting Imitation -- W32 - The Visual Object Tracking Challenge Workshop VOT2020 -- The Eighth Visual Object Tracking VOT2020 ChallengeResults -- Robust Long-Term Object Tracking via Improved Discriminative Model Prediction -- An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers -- AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline -- RPT: Learning Point Set Representation for Siamese Visual Tracking -- AFOD: Adaptive Focused Discriminative Segmentation Tracker -- Cascaded Tracking via Pyramid Dense Capsules -- W33 - Video Turing Test: Toward Human-Level Video Story Understanding -- GCF-Net: Gated Clip Fusion Network for Video Action Recognition -- Late Temporal Modeling in 3D CNNs with BERT.
En línea:	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

Glasgow, UK, August 23–28, 2020, Proceedings, Part V [documento electrónico] / Bartoli, Adrien, ; Fusiello, Andrea,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XXVIII, 752 p. 298 ilustraciones, 283 ilustraciones en color.
ISBN : 978-3-030-68238-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Visión por computador  Aprendizaje automático  Sistemas de reconocimiento de patrones  Software de la aplicacion  Red de computadoras  Reconocimiento de patrones automatizado  Aplicaciones informáticas y de sistemas de información  Redes de comunicación informática
Índice Dewey:	006.37 Visión artificial
Resumen:	El conjunto de 6 volúmenes, que comprende los libros LNCS 12535 hasta 12540, constituye las actas arbitradas de 28 de los 45 talleres celebrados en la 16.ª Conferencia Europea sobre Visión por Computador, ECCV 2020. La conferencia estaba prevista para tener lugar en Glasgow, Reino Unido. durante el 23 al 28 de agosto de 2020, pero cambió a formato virtual debido a la pandemia de COVID-19. Los 249 artículos completos, 18 artículos breves y 21 contribuciones adicionales incluidos en las actas del taller fueron cuidadosamente revisados ​​y seleccionados de un total de 467 presentaciones. Los artículos tratan diversos temas de visión por computadora. La Parte V incluye: El 16º Taller de Visión Integrada; Visión por computadora del mundo real a partir de insumos con calidad limitada (RLQ); Los lados brillante y oscuro de la visión por computadora: desafíos y oportunidades para la privacidad y la seguridad (CV-COPS 2020); El Taller del Desafío de Seguimiento de Objetos Visuales (VOT 2020); y Prueba de Video Turing: hacia la comprensión de historias en video a nivel humano. .
Nota de contenido:	W27 - The 16th Embedded Vision Workshop -- Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions -- SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation -- Weight-dependent Gates for Differentiable Neural Network Pruning -- QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework -- An Efficient Method for Face Quality Assessment on the Edge -- Efficient Approximation of Filters for High-Accuracy Binary Convolutional Neural Networks -- One Weight Bitwidth to Rule Them All -- Real-time detection of multiple targets from a moving 360 panoramic imager in the wild -- Post Training Mixed-precision Quantization based on Key Layers Selection -- Subtensor Quantization for Mobilenets -- Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules -- W29 - Real-World Computer Vision from Inputs with Limited Quality (RLQ) -- Reinforcement Learning for Improving Object Detection -- Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels -- Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training -- What Does CNN Shift Invariance Look Like? A Visualization Study -- Challenges from Fast Camera Motion and Image Blur: Dataset and Evaluation -- Self-Supervised Attribute-Aware Re nement Network for Low-Quality Text Recognition -- Face Mask Invariant End-to-End Face Recognition -- Visible Feature Guidance for Crowd Pedestrian Detection -- The Impact of Real Rain in a Vision Task -- Hard Occlusions in Visual Object Tracking -- The 1st Tiny Object Detection Challenge: Methods and Results -- Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection -- Exploring Effective Methods to Improve the Performance of Tiny Object Detection -- UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results -- A Dual Residual Network with Channel Attentionfor Image Restoration -- Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images -- Deep Atrous Guided Filter for Image Restoration in Under Display Cameras -- Residual and Dense UNet for Under-display Camera Restoration -- W31 - The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020) -- Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction -- Adversarial Training against Location-Optimized Adversarial Patches -- Revisiting the Threat Space for Vision-based Keystroke Inference Attacks -- Black-Box Face Recovery from Identity Features -- Privacy-Aware Face Recognition with Lensless Multi-Pinhole Camera -- Frequency-Tuned Universal Adversarial Perturbations -- Face-Image Source Generator Identification -- Spatio-Temporal Handwriting Imitation -- W32 - The Visual Object Tracking Challenge Workshop VOT2020 -- The Eighth Visual Object Tracking VOT2020 ChallengeResults -- Robust Long-Term Object Tracking via Improved Discriminative Model Prediction -- An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers -- AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline -- RPT: Learning Point Set Representation for Siamese Visual Tracking -- AFOD: Adaptive Focused Discriminative Segmentation Tracker -- Cascaded Tracking via Pyramid Dense Capsules -- W33 - Video Turing Test: Toward Human-Level Video Story Understanding -- GCF-Net: Gated Clip Fusion Network for Video Action Recognition -- Late Temporal Modeling in 3D CNNs with BERT.
En línea:	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