Pattern Recognition and Computer Vision

TRAMA

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. 

SOMMARIO

Feature Enhancement with Text-specific Region Contrast for Scene Text Detection.- Learning Efficient Representations for Patent Drawing Retrieval.- HelixNet: Dual Helix Cooperative Decoders for Scene Text Removal.- Semantic-information Space Sharing Interaction Network for Arbitrary Shape Text Detection.- AIE-KB: Information Extraction Technology with Knowledge Base for Chinese Archival Scenario.- Deep Hough Transform For Gaussian Semantic Box-Lines Alignment.- Chinese-Vietnamese Cross-lingual Event Causality Identification Based on Syntactic Graph Convolution.- MCKIE: Multi-Class Key Information Extraction from Complex Documents based on Graph Convolutional Network.- A Pre-trained Model For Chinese Medical Record Punctuation Restoration.- "English and Spanish Bilinguals’ Language Processing: An ALE-based Meta-analysis of Neuroimaging Studies".-  Robust Subspace Learning with Double Graph Embedding Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation.- Text Causal Discovery Based on Sequence Structure Information.- MetaSelection:  A Learnable Masked AutoEncoder for Multimodal Sentiment Feature Selection.- Image Manipulation Localization based on Multiscale Convolutional Attention.- Bi-Stream Multiscale Hamhead Networks with Contrastive Learning for Image forgery Localization.- Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning.- Industrial-SAM with Interactive Adapter.- Mining Temporal Inconsistency with 3D Face Model for Deepfake Video Detection.- DT-TransUNet: A Dual-task Model for Deepfake Detection and Segmentation.- Camouflaged Object Detection via Global-edge Context and Mixed-scale Refinement.- Enhancing CLIP-Based Text-Person Retrieval by Leveraging Negative Samples.- Global Selection and Local Attention Network for Referring Image Segmentation.- MTQ-Caps: A Multi-Task Capsule Network for Blind Image Quality Assessment.- VCD: Visual Causality Discovery for Cross-Modal Question Reasoning.- Multimodal Topic and Sentiment Recognition for Chinese Data Based on Pre-trained Encoders.- Multi-Feature Fusion-Based Central Similarity Deep Supervised Hashing.- VVA: Video Values Analysis.- Dynamic Multi-modal Prompting for Efficient Visual Grounding.- A Graph-involved Lightweight Semantic Segmentation Network.- User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning.- An End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition.- Target-oriented Multi-criteria Band Selection for Hyperspectral Image.- Pairwise Negative Sample Mining for Human-Object Interaction Detection.- An Evolutionary Multiobjective Optimization Algorithm based on Manifold Learning.- Path Planning of Automatic Parking System by A Point-based Genetic AlgorithmPenalty-Aware Memory Loss for Deep Metric Learning.- Central and Directional Muti-Neck Knowledge Distillation.- Online Class-incremental Learning in Image Classification based on AttentionOnline airline baggage packing based on hierarchical tree A2C-reinforcement learning framework

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789819985395
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 807 gr
• Formato: Brossura
• Illustration Notes: XIV, 517 p. 153 illus., 147 illus. in color.
• Pagine Arabe: 517
• Pagine Romane: xiv