Pattern Recognition and Computer Vision
Springer International Publishing (Verlag)
978-3-030-31653-2 (ISBN)
The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.
Channel Feature Enhanced Detector for Small Ball Detection.- High-order Graph Convolutional Network for Skeleton-based Human Action Recognition.- Multi-scale Spatial-temporal Attention for Action Recognition.- Reading Digital Numbers of Water Meter with Deep Learning Based Object Detector.- Exploiting Category-level Semantic Relationships for Fine-grained Image Recognition.- On the Multi-scale Real-time Object Detection Using ResNet.- Learning Attention Regulizaiton Correlation Filter for Visual Tracking.- Target Tracking Via Two-branch Spatio-temporal Regularized Correlation Filter Network.- A Real-time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera.- Cross-category Cross-semantic Regularization for Fine-grained Image Recognition.- The Multi-task Fully Convolutional Siamese Network with Correlation Filter Layer for Real-time Visual Tracking.- Table Detection Using Boundary Refining via Corner Locating.- Dictionary Learning and Confidence Map Estimation-based Tracker for Robot-assisted Therapy System.- Power Line Corridor Lidar Point Cloud Segmentation Using Convolutional Neural Network.- Face Liveness Detection Based on Client Identity Using Siamese Network.- Learning Weighted Video Segments for Temporal Action Localization.- REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing.- Weakly-supervised Action Recognition and Localization via Knowledge Transfer.- Visual Tracking with Levy Flight Grasshopper Optimization Algorithm.- Exploring Context Information for Accurate and Fast Object Detection.- A Novel Method for Thermal Image Based Electrical-equipment Detection.- State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology.- Attention Based Convolutional Recurrent Neural Network for Environmental Sound Classification.- Salient Object Detection via Light-weight Multi-Path Refinement Networks.- Visual Object Tracking via An Improved Lightweight Siamese Network.- A Simple and Robust Attentional Encoder-decoder Model for License Plate Recognition.- Semi-supervised Deep Neural Networks for Object Detection in Video Surveillance Systems.- YNBIRDS: A System for Fine-grained Bird Image Recognition.- Quadratic Approximation Greedy Pursuit for Cardinality-constrained Sparse Learning.- Iterative Discriminative Domain Adaptation.- Common Structured Low-rank Matrix Recovery for Cross-view Classification.- Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding.- Channel and Constraint Compensation for Generative Adversarial Networks.- Faster Real-time Face Alignment Method on CPU.- A Siamese Pedestrian Alignment Network for Person Re-identification.- Training Low Bitwidth Model with Weight Normalization for Convolutional Neural Networks.- Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.- Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network.- Attention-based Label Consistency for Semi-supervised Deep Learning.- Semantic Reanalysis of Scene Words in Visual Question Answering.- A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification.- Spatial-temporal Fusion Network with Residual Learning and Attention Mechanism: A Benchmark for Video-based Group Re-ID.- Architectural Style Classification Based on DNN Model.- DAEIMP: Denoising Autoencoder-based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases.- Fabric Defect Detection Based on Lightweight Neural Network.- Person Re-identification with Neural Architecture Search.- Deep Convolutional Center-based Clustering.- Exponential Moving Averaged Q-network for DDPG.- Multi-scale Convolutional Neural Network Based on 3D Context Fusion for Lesion Detection.- Orientation Adaptive YOLOv3 for Object Detection in Remote Sensing Images.- Neural Ordinary Differential Equations with Envolutionary Weights.- Infrared Image Segmentation for Photovoltaic Panels Based on Res-UNet.
Erscheinungsdatum | 06.10.2019 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XXX, 629 p. 301 illus., 211 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 997 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Netzwerke | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • classification • Clustering • Computer Science • computer vision • conference proceedings • Human-Computer Interaction (HCI) • image coding • Image Processing • image reconstruction • Image Segmentation • Imaging Systems • Informatics • K-means • Learning Algorithms • Neural networks • Object detection • Object recognition • Research • Semantics • Semi-Supervised Learning • Signal Processing • Support Vector Machines (SVM) • User Interfaces |
ISBN-10 | 3-030-31653-X / 303031653X |
ISBN-13 | 978-3-030-31653-2 / 9783030316532 |
Zustand | Neuware |
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