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liu qingshan (curatore); wang hanzi (curatore); ma zhanyu (curatore); zheng weishi (curatore); zha hongbin (curatore); chen xilin (curatore); wang liang (curatore); ji rongrong (curatore) - pattern recognition and computer vision

Pattern Recognition and Computer Vision 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part X

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 01/2024
Edizione: 1st ed. 2024





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

Dual-stream Context-aware Neural Network for Survival Prediction from Whole Slide Images.- A multi-label image recognition algorithm based on spatial and semantic correlation interaction.- Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation.- Multi-Behavior Enhanced Graph Neural Networks for Social Recommendation.- A Complex-valued Neural Network based Robust Image Compression.- Binarizing Super-resolution Neural Network without Batch Normalization.- Infrared and Visible Image Fusion via Test-Time Training.- Graph-based Dependency-aware Non-Intrusive Load Monitoring.- Few-shot Object Detection via Classify-free RPN.- IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors.- L2MNet: Enhancing Continual Semantic Segmentation with Mask Matching.- Adaptive Channel Pruning for Trainability Protection.- Exploiting Adaptive Crop and Deformable Convolution for Road Damage Detection.- Cascaded-scoring Tracklet Matching for Multi-object Tracking.- Boosting Generalization Performance in Person Re-Identification
Self-Guided Transformer for Video Super-Resolution.- SAMP: Sub-task Aware Model Pruning with Layer-wise Channel Balancing for Person Search.- MKB: Multi-kernel Bures Metric for Nighttime Aerial Tracking.- Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution.- SSDD-Net: A Lightweight and Efficient Deep Learning Model for Steel Surface Defect Detection.- Effective Small Ship Detection with Enhanced-YOLOv7.- PiDiNeXt: An Efficient Edge Detector based on Parallel Pixel Difference Networks.- Transpose and Mask: Simple and Effective Logit-Based Knowledge Distillation for Multi-Attribute and Multi-Label Classification.- CCSR-Net: Unfolding coupled convolutional sparse representation for multi-focus image fusion.- FASONet: A Feature Alignment-Based SAR and Optical Image Fusion Network  for Land Use Classification.- De Novo Design of Target-Specific Ligands Using BERT-Pretrained Transformer.- CLIP for Lightweight Semantic Segmentation.- Teacher-Student Cross-Domain Object Detection Model Combining Style Transfer and Adversarial Learning.- Computing 2D Skeleton via Generalized Electric Potential.- Illumination Insensitive Monocular Depth Estimation based on Scene Object Attention and Depth Map Fusion.- A Few-Shot Medical Image Segmentation Network with Boundary Category Correction.- Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting.- Multi-depth Fusion Transformer and Batch Piecewise Loss for Visual Sentiment Analysis.- Expanding the Horizons: Exploring Further Steps in Open-Vocabulary Segmentation.- Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.- TEFNet: Target-Aware Enhanced Fusion Network for RGB-T Tracking.- DARN: Crowd Counting Network Guided by Double Attention Refinement.- DFR-ECAPA: Diffusion Feature Refinement for Speaker Verification based on ECAPA-TDNN.- Half Aggregation Transformer for Exposure Correction.- Deformable Spatial-Temporal Attention for Lightweight Video Super-Resolution











Altre Informazioni

ISBN:

9789819985487

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 777 gr
Formato: Brossura
Illustration Notes:XIV, 497 p. 171 illus., 170 illus. in color.
Pagine Arabe: 497
Pagine Romane: xiv


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