Pattern Recognition ICPR International Workshops and Challenges Virtual Event January 10 15 2021 Proceedings Part IV 1st Edition Alberto Del Bimbo 3030687996 9783030687991

Pattern Recognition ICPR International Workshops and Challenges Virtual Event January 10 15 2021 Proceedings Part IV 1st Edition Alberto Del Bimbo – Ebook Instant Download/Delivery ISBN(s): 3030687996, 9783030687991

Product details:

• ISBN 10: 3030687996
• ISBN 13: 9783030687991
• Author: Alberto

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 – 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Table of contents:

Teil I. FGVRID – Fine-Grained Visual Recognition and re-Identification

Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection

Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering

A Framework for Jointly Training GAN with Person Re-Identification Model

Interpretable Attention Guided Network for Fine-Grained Visual Classification

Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks

From Coarse to Fine: Hierarchical Structure-Aware Video Summarization

ADNet: Temporal Anomaly Detection in Surveillance Videos

Soft Pseudo-labeling Semi-Supervised Learning Applied to Fine-Grained Visual Classification

Teil II. HCAU 2020 – The First International Workshop on Deep Learning for Human-Centric Activity Understanding

Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection

Social Modeling Meets Virtual Reality: An Immersive Implication

Pickpocketing Recognition in Still Images

t-EVA: Time-Efficient t-SNE Video Annotation

Vision-Based Fall Detection Using Body Geometry

Comparative Analysis of CNN-Based Spatiotemporal Reasoning in Videos

Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning

Local Anomaly Detection in Videos Using Object-Centric Adversarial Learning

A Hierarchical Framework for Motion Trajectory Forecasting Based on Modality Sampling

Skeleton-Based Methods for Speaker Action Classification on Lecture Videos

Teil III. IADS – Integrated Artificial Intelligence In Data Science

Fake Review Classification Using Supervised Machine Learning

Defect Detection of Stainless Steel Plates Using Deep Learning Technology

Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice

Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification

A Neural Network Model for Lead Optimization of MMP12 Inhibitors

An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline

Input-Aware Neural Knowledge Tracing Machine

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks

Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks

Imputation of Rainfall Data Using Improved Neural Network Algorithm

Novelty Based Driver Identification on RR Intervals from ECG Data

Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis

A Hybrid Wine Classification Model for Quality Prediction

A PSO-Based Sanitization Process with Multi-thresholds Model

Task-Specific Novel Object Characterization

Teil IV. IML – International Workshop on Industrial Machine Learning

Deep Learning Based Dimple Segmentation for Quantitative Fractography

PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization

Real-Time Cross-Dataset Quality Production Assessment in Industrial Laser Cutting Machines

An Online Deep Learning Based System for Defects Detection in Glass Panels

Evaluation of Edge Platforms for Deep Learning in Computer Vision

BlendTorch: A Real-Time, Adaptive Domain Randomization Library

SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation

Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets

3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics

Development of Fast Refinement Detectors on AI Edge Platforms

Selecting Algorithms Without Meta-features

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing

Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series?

Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses

A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0

Automatic Viewpoint Estimation for Inspection Planning Purposes

Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs

Image Anomaly Detection by Aggregating Deep Pyramidal Representations

Fault Detection in Uni-Directional Tape Production Using Image Processing

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