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El. knyga: Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I

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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 13534
  • Išleidimo metai: 27-Oct-2022
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031189074
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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 13534
  • Išleidimo metai: 27-Oct-2022
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031189074
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The 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022.

The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking.
Theories and Feature Extraction.- Architecture Colorization via
Self-Supervised Learning and Instance Segmentation.- Dual-rank attention
module for fine-grained vehicle model recognition.- Multi-View Geometry
Distillation for Cloth-changing Person ReID.- Triplet Ratio Loss for Robust
Person Re-identification.- TFAtrack:Temporal Feature Aggregration for UAV
Tracking and A Unified Benchmark.- Correlated Matching and Structure Learning
for Unsupervised Domain Adaptation.- Rider Re-identification Based on Pyramid
Attention.- Temporal Correlation-Diversity Representations for Video-based
Person Re-Identication.- FIMF Score-CAM: Score-CAM Based Visual Explanations
via Fast Integrating Multiple Features of Local Space for Deep
Networks.- Learning Adaptive Progressive Representation for Group
Re-identification.- General High-Pass Convolution: A Novel Convolutional
Layer for Image Manipulation Detection.- Machine learning, Multimedia and
Multimodal.- Thangka Mural Line Drawing Based on Dense and Dual-Residual
Architecture.- Self-Supervised Adaptive Kernel Nonnegative Matrix
Factorization.- Driver Behavior Decision Making based on Multi-Action Deep
Q Network in Dynamic Traffic Scenes.- Federated Twin Support Vector Machine.-
Adversarial VAE with Normalizing Flows for
Multi-Dimensional Classification.- Fuzzy Twin Bounded Large Margin
Distribution Machines.- Harnessing Multi-Semantic Hypergraph for Few-Shot
Learning.- Deep Relevant Feature Focusing for Out-of-Distribution
Generalization.- Attributes based Visible-Infrared Person
Re-identification.- A Real-Time Polyp Detection Framework for Colonoscopy
Video.- Dunhuang Mural Line Drawing Based on Bi-Dexined Network and Adaptive
Weight Learning.- Attention-based Fusion of Directed Rotation Graphs for
Skeleton-based Dynamic Hand Gesture Recognition.- SteelyGAN: Semantic
Unsupervised Symbolic Music GenreTransfer.- Self-Supervised Learning for
Sketch-Based 3D Shape Retrieval.- Preference-aware Modality Representation
and Fusion for Micro-video Recommendation.- Multi-Intent Compatible
Transformer Network for Recommendation.- OpenMedIA: Open-Source Medical Image
Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms.-
CLIP Meets Video Captioning: Concept-Aware Representation Learning Does
Matter.- Attention-guided Multi-modal and Multi-scale fusion for
Multispectral Pedestrian Detection.- XPNet: Cross-Domain Prototypical Network
for Zero-Shot Sketch-Based Image Retrieval.- A high-order tensor completion
algorithm based on Fully-Connected Tensor Network weighted
optimization.- Momentum Distillation Improves Multimodal Sentiment Analysis.-
Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal
Video Grounding.- Multi-Grained Cascade Interaction Network for Temporal
Activity Localization via Language.- Part-based Multi-Scale Attention Network
for Text-based Person Search.- Deliberate Multi-Attention Network for Image
Captioning.- CTFusion: Convolutions Integrate with Transformers for
Multi-modal Image Fusion.- Heterogeneous Graph-based Finger Trimodal
Fusion.- Disentangled OCR: A More Granular Information for
Text-to-Image" Retrieval.- Optimization and Neural Network and Deep
Learning.- Cloth-Aware Center Cluster Loss for Cloth-Changing
Person Re-identification.- Efficient Channel Pruning via Architecture-Guided
Search Space Shrinking.- EFG-Net: A Unified Framework for Estimating Eye Gaze
and Face Gaze Simultaneously.- Local Point Matching Network for Stabilized
Crowd Counting and Localization.- Discriminative Distillation to Reduce Class
Confusion in Continual Learning.- Enhancing Transferability of Adversarial
Examples with Spatial Momentum.- AIA: Attention in Attention within
Collaborate Domains.- Infrared and Near-Infrared Image Generation via Content
Consistency and Style Adversarial Learning.- Adaptive Open Set Recognition
with Multi-Modal Joint Metric Learning.- Prior-Guided Multi-Scale Fusion
Transformer for Face Attribute Recognition.- KITPose: Keypoint-Interactive
Transformer for Animal Pose Estimation.- Few-Shot Object Detection via
Understanding Convolution and Attention.- Every Corporation Owns Its
Structure: Corporate Credit Rating via Graph Neural Networks.- Unsupervised
Image Translation with GAN Prior.- An adaptive PCA-like asynchronously deep
reservoir computing for modeling data-driven soft sensors.- Double Recursive
Sparse Self-Attention Based Crowd Counting In The Cluttered Background.-
BiTMulV: Bidirectional-Decoding based Transformer With Multi-View Visual
Representation for Image Captioning.- An improved lightweight network based
on MobileNetV3 for palmprint recognition.- A Radar HRRP Target Recognition
Method Based on Conditional Wasserstein VAEGAN and 1-D CNN.- Partial Least
Square Regression via Three-factor SVD-type Manifold Optimization for EEG
Decoding.- Single Deterministic Neural Network with Hierarchical Gaussian
Mixture Model for Uncertainty Quantification.- Exploring Masked Image
Modeling for Face Anti-Spoofing.