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Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 November 1, 2021, Proceedings, Part I 1st ed. 2021 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 617 pages, aukštis x plotis: 235x155 mm, weight: 967 g, 208 Illustrations, color; 11 Illustrations, black and white; XIX, 617 p. 219 illus., 208 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13019
  • Išleidimo metai: 08-Oct-2021
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030880036
  • ISBN-13: 9783030880033
Kitos knygos pagal šią temą:
Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 November 1, 2021, Proceedings, Part I 1st ed. 2021Didesnis paveikslėlis
  • Formatas: Paperback / softback, 617 pages, aukštis x plotis: 235x155 mm, weight: 967 g, 208 Illustrations, color; 11 Illustrations, black and white; XIX, 617 p. 219 illus., 208 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13019
  • Išleidimo metai: 08-Oct-2021
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030880036
  • ISBN-13: 9783030880033
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783030880033.html
Raktažodžiai:
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.





The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Object Detection, Tracking and Recognition.- High-performance
Discriminative Tracking with Target-aware Feature Embeddings.-3D Multi-Object
Detection and Tracking with Sparse Stationary LiDAR.- CRNet: Centroid
Radiation Network for Temporal Action Localization.- Weakly Supervised
Temporal Action Localization with Segment-Level Labels.- Locality-constrained
collaborative representation with multi-resolution dictionary for face
recognition.- Fast and Fusion: Real-time Pedestrian Detector Boosted by
Body-head Fusion.- STA-GCN: Spatio-Temporal AU Graph Convolution Network for
Facial Micro-Expression Recognition.- Attentive Contrast Learning Network for
Fine-grained Classification.- Relation-Based Knowledge Distillation for
Anomaly Detection.- High Power-efficient and Performance-density FPGA
Accelerator for CNN-based Object Detection.- Relation-Guided Actor Attention
for Group Activity Recognition.- MVAD-Net: Learning View-Aware and
Domain-Invariant Representation for Baggage Re-Identification.- Joint
Attention Mechanism for Unsupervised Video Object Segmentation.-Foreground
Feature Selection and Alignment for Adaptive Object Detection.- Exploring
Category-shared and Category-specific Features for Fine-Grained Image
Classification.-Deep Mixture of Adversarial Autoencoders Clustering Network.-
SA-InterNet: Scale-aware Interaction Network for Joint Crowd Counting and
Localization.- Conditioners for Adaptive Regression Tracking.- Attention
Template Update Model for Siamese Tracker.- Insight on Attention Modules for
Skeleton-Based Action Recognition.- AO-AutoTrack: Anti-Occlusion Real-Time
UAV Tracking Based on Spatio-temporal Context.- Two-stage Recognition
Algorithm for Untrimmed  Converter Steelmaking Flame Video.- Scale-aware
Multi-branch Decoder for Salient Object Detection.- Dense End Face Detection
Network for Counting Bundled Steel Bars Based on Densely End Face Detection
Network for Counting Bundled Steel Bars Based on YoloV5.- POT: A Dataset of
Panoramic Object Tracking.- DP-YOLOv5:Computer Vision-Based Risk Behavior
Detection in Power Grids.-Distillation-based Multi-Exit Fully Convolutional
Network for Visual Tracking.-Handwriting Trajectory Reconstruction using
Spatial-Temporal Encoder-Decoder Network.- Scene Semantic Guidance for Object
Detection.- Training Person Re-Identification Networks with Transferred
Images.- ACFIM: Adaptively Cyclic Feature Information- interaction model for
Object Detection.- Research of robust video object tracking algorithm based
on Jetson Nano embedded platform.- Classification-IoU Joint Label Assignment
For End-to-End Object Detection.- Joint Learning Appearance and Motion Models
for Visual Tracking.- ReFlowNet: Revisiting Coarse-to-fine Learning of
Optical Flow.- Local Mutual Metric Network for Few-Shot Image
Classification.- SimplePose V2: Greedy Offset-Guided Keypoint Grouping for
Human Pose Estimation.- Control Variates for Similarity Search.- Pyramid
Self-Attention for Semantic Segmentation.-Re-identify Deformable Targets for
Visual Tracking.- End-to-End Detection and Recognition of Arithmetic
Expressions.- FD-Net: A Fully Dilated Convolutional Network for Historical
Document Image Binarization.- Appearance-Motion Fusion Network for Video
Anomaly Detection.- Can DNN Detectors Compete against Human Vision in Object
Detection Task?.- Group Re-Identification Based on single feature attention
learning network(SFALN).- Contrastive Cycle Consistency Learning for
Unsupervised Visual Tracking.- Group-Aware Disentangle Learning for Head Pose
Estimation.- Facilitating 3D Object Tracking in Point Clouds with Image
Semantics and Geometry.- Multi-Criteria Confidence Evaluation for Robust
Visual Tracking.