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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IV / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Lin, Zhouchen.
Contributor:
Cheng, Ming-Ming.
He, Ran.
Ubul, Kurban.
Silamu, Wushouer.
Zha, Hongbin.
Zhou, Jie.
Liu, Cheng-Lin.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15034
Language:
English
Subjects (All):
Image processing--Digital techniques.
Image processing.
Computer vision.
Artificial intelligence.
Application software.
Computer networks.
Computer systems.
Machine learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Communication Networks.
Computer System Implementation.
Machine Learning.
Local Subjects:
Computer Imaging, Vision, Pattern Recognition and Graphics.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Communication Networks.
Computer System Implementation.
Machine Learning.
Physical Description:
1 online resource (524 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Contents:
Contextual Feature-Based Medical Visual Question Answering Aided by Learnable Matrix
ImgQuant: Towards adversarial defense with robust boundary via dual-image quantization
Swelling-ViT: Rethink Data-efficient Vision Transformer from Locality
Target-Specific Domain Adaptation via Geometry-Correlation Prediction for Point Cloud
Dual-stream Network of Vision Mamba and CNN with Auto-scaling for Remote Sensing Image Segmentation
PRM: A Pixel-Region-Matching Approach for Fast Video Object Segmentation
A Novel Combined GAN for Defects Generation using Masking Mechanisms
Semi-supervised lightweight fabric defect detection
Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
Invariant Risk Minimization Augmentation for Graph Contrastive Learning
Enhancing Fast Adversarial Training with Learnable Adversarial Perturbations
DTAFORMER: Directional Time Attention Transformer For Long-Term Series Forecasting
Unpaired Multi-scenario Sketch Synthesis via Texture Enhancement
ISO-VTON: Fine-Grained Style-Local Flows with Dual Cross-Attention for Immersive Outfitting
Near-surface Air Temperature Inversion Study Based on U-Net Family with Multi-source Data
Relation Detection with Transformers for Panoptic Scene Graph Generation
WEDNet: A Wavelet Enhanced Detail Network for Low-Light Image Enhancement
Textureness-Aware Neural Network for Edge Detection
Enhancing the Transferability and Stealth of Deepfake Detection Attacks Through Latent Diffusion Models
Backdoor Richer Watermarks using Dynamic Mask Covering for Dual Identity Verification
Pedestrian Trajectory Prediction using Spatio-Temporal VAE
Real-Time DEtection TRansformer with Bi-Level Routing Attention
NFP-UNet: Deep Learning Estimation of Placeable Areas for 2D Irregular Packing
Advancements in Photorealistic Style Translation with a Hybrid Generative Adversarial Network
Transformer Image Quality Assessment Based on Multi-Directional Feature Extraction
MRGAN: LightWeight Monaural Speech Enhancement using GAN Network
Data augmentation guided Decouple Knowledge Distillation for low-resolution fine-grained image classification
GAN-Diffusion Relay Model: Advancing Semantic Image Synthesis
Virtual Student Distribution Knowledge Distillation for Long-tailed Recognition
Open-Vocabulary Instance Segmentation-Boundary IS-Goal
3DLaneFormer: End-to-End 3D Lane Detection with Voxel Descriptors
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
Spectral–Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification
Local reactivation for communication efficient federated learning based on sparse gradient deviation.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819785056
9819785057
OCLC:
1472982260

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