Pattern recognition = 6th Asian Conf...
Asian Conference on Pattern Recognition (2021 :)

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  • Pattern recognition = 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021 : revised selected papers.. Part I /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Pattern recognition/ edited by Christian Wallraven, Qingshan Liu, Hajime Nagahara.
    其他題名: 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021 : revised selected papers.
    其他題名: ACPR 2021
    其他作者: Wallraven, Christian.
    團體作者: Asian Conference on Pattern Recognition
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xx, 587 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Pattern recognition systems - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-02375-0
    ISBN: 9783031023750
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