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Pattern Recognition: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II

Pattern Recognition: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II (Paperback)

Qingshan Liu, Hajime Nagahara, Christian Wallraven (엮은이)
Springer
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Pattern Recognition: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II
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책 정보

· 제목 : Pattern Recognition: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 비전/패턴 인식
· ISBN : 9783031024436
· 쪽수 : 593쪽
· 출판일 : 2022-05-10

목차

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 Your Face? .- 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.

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