Pattern Recognition

6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9–12, 2021, Revised Selected Papers, Part II

Häftad, Engelska, 2022

Av Christian Wallraven, Qingshan Liu, Hajime Nagahara

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This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions.

Produktinformation

Utgivningsdatum2022-05-10
Mått155 x 235 x 33 mm
Vikt920 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor593
FörlagSpringer International Publishing AG
ISBN9783031024436

Tillhör följande kategorier

One-Shot Image Learning Using Test-Time Augmentation.- Offline Handwritten Mathematical Expression Recognition via Graph Reasoning Network.- Circulant Tensor Graph Convolutional Network for Text Classification.- NASformer: Neural Architecture Search for Vision Transformer.- Interference Distillation for Underwater Fish Recognition.- Action and Video and Motion.- Contact-Less Heart Rate Detection in Low Light Videos.- Spatio-temporal Weight of Active Region for Human Activity Recognition.- Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation.- SARNN: A Spatiotemporal Prediction Model for Reducing Error Transmissions.- 3OFRR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Refined-RANSAC.- Motor Imagery Classification based on local log Riemannian distance matrices selected by confusion area score.- Distance-GCN for Action Recognition.- Causal Intervention Learning for Multi-Person Pose Estimation.- Object Detection and Anomaly.- Weakly Supervised Salient Object Detection with Box Annotation.- Foreground-Background Collaboration Network for Salient Object Detection.- Attention Guided Multi-level Feedback Network for Camouflage Object Detection.- Confidence-aware Anomaly Detection in Human Actions.- Segmentation, Grouping and Shape.- 1D Self-Attention Network for Point Cloud Semantic Segmentation using Omnidirectional LiDAR.- COMatchNet: Co-Attention Matching Network for Video Object Segmentation.- Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.- Towards the Target: Self-Regularized Progressive Learning for Unsupervised Domain Adaptation on Semantic Segmentation.- TFNet: Transformer Fusion Network for Ultrasonic Image Segmentation.- Spatial Pyramid-based Wavelet Embedding Deep Convolutional Neural Network for Semantic Segmentation.- CFFNet: Cross-scale Feature Fusion Network for Real-time Semantic Segmentatio.- Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception.- ARTSeg: Employing Attention for Thermal images Semantic Segmentation.- Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections.- Joint Semantic Segmentation and Edge Detection for Waterline Extraction.- Face and Body and Biometrics.- Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation.- Pose Sequence Generation with a GCN and an Initial Pose Generator.- Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing.- Face Anti-Spoofing via Robust Auxiliary Estimation and Discriminative Feature Learning.- PalmNet: A Robust Palmprint Minutiae Extraction Network.- Multi-stage Domain Adaptation for Subretinal Fluid Classification in Cross-device OCT Images.- SaME: Sharpness-Aware Matching Ensemble for Robust Palmprint Recognition.- Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.- Joint Multi-feature Learning for Facial Age Estimation.- Is CNN Really Looking at YourFace? .- NFW: Towards National and Individual Fairness in Face Recognition.- Adversarial Learning and Networks.- Unsupervised Fabric Defect Detection Based on DCGAN with Component-encoder.- Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning.- Computational Photography.- Deep Rejoining Model for Oracle Bone Fragment Images.- Spatial Spectral Joint Correction Network for Hyperspectral and Multispectral Image Fusion.- Learning Theory and Optimization.- Softplus Function: Extensions of Activation Function and Loss Function by using q-Space.- Super-class Mixup for Adjusting Training Data.- Drop "Noise" Edge: An Approximation of the Bayesian GNNs.- Fast Proximal Policy Optimization.