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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part I /

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This 20-volume set LNCS 15842-15861 constitutes - in conjunction with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869 - the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The total...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Huang, De-Shuang (Editor), Pan, Yijie (Editor), Chen, Wei (Editor), Li, Bo (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Colección:Lecture Notes in Computer Science, 15842
Materias:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Acceso en línea:https://doi.org/10.1007/978-981-96-9863-9
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Tabla de Contenidos:
  • -- Image Processing .
  • Graph Sampling Transformer for HSI Classification.
  • Selective Targeting for Enhanced Salient Object Detection.
  • ALD-Net: Adaptive Local Diffusion Network for Ethnic Pattern Synthesis.
  • ISTD-YOLO: A Multi-Scale Lightweight High-Performance Infrared Small Target Detection Algorithm.
  • DBTNet: Dual-Stream Background-Target Decoupling Network for Infrared Small Target Detection.
  • STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking.
  • Semantic-Guided Multi-Attention Model for Infrared and Visible Image Fusion: A Deep Learning Approach.
  • Feature-guided Prototype-enhanced Few-shot Semantic Segmentation Model.
  • Image Aesthetic Quality Assessment Method Based on Multi-Scale Fusion Spiking Neural Network Vision Transformer.
  • Feature-Augmented Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images.
  • DDECNet: Dual-Branch Difference Enhanced Network with Novel Efficient Cross-Attention for Remote Sensing Change Detection.
  • Remote Sensing Image Change Detection Based on Wavelet Feature Interaction and Multi-Scale Feature Aggregation.
  • Depixelation and Enhancement Algorithm of Fiber Bundle Images Based on Diffusion Model.
  • MambaSTR: Scene Text Recognition with Masked State Space Model.
  • MambaFER: A Mamba-Based Dual-Perception Network for Facial Expression Recognition in the Wild.
  • A Steel Surface Defect Detection Method Based on a Lightweight Semantic Segmentation Model.
  • YOLO-CBD: A Classroom Behavior Detection Method.
  • Optimizing Small Object Detection in Drone Imagery: A Lightweight Weighted Multi-Branch Supportive Fusion.
  • Test-Time Adaptation via Distribution-Aware Guidance for Vision-Language Models.
  • GDAFormer: Transformer-Driven Fundus Image Enhancement with Gated Dual-Attention.
  • Change Detection for Wide-Field Video Images in Foggy Weather Based on Enhanced K-Means Clustering.
  • PML-SLAM: Optimizing and Enhancing Visual SLAM with Point-to-Line Matching.
  • RGPest-YOLO: A YOLOv8 Pest Detection Method Based on Image Preprocessing.
  • IRAWildNet: A Multi-Species Infrared Wildlife Target Detection Method from the UAV Perspective.
  • FTDB-Net: A Fourier Transform-Based Dual-Branch Low-Light Image Enhancement Network.
  • Curriculum-Learned Masked Pretraining Models for Remote Sensing Building Detection.
  • End-to-End Landmark Guided Head Pose Estimation.
  • JPEG Image Encryption with Cross-Channel Permutation and Tunable Range Substitution.
  • ERUAVNet: An Efficient Reparameterized Network for Unmanned Aerial Vehicle Detection.
  • Modality Perception Network for Multi-Modal Rumor Detection.
  • Dual-Branch Diffusion Model for JPEG Artifact Correction.
  • Enhancing H&E-to-IHC Virtual Staining via Multi-Channel Correlation Learning.
  • HASNet: A Hybrid CNN-Transformer Network with Adaptive Sparse Cross Attention for Low-Light Image Enhancement.
  • Multi-View 3D Object Detection by Using a Preluded 2D Detector.
  • A L0 Framework with Anisotropic Sparsity and Fairness for 3D Denoising.
  • Real-Time Semantic Segmentation for UAV Perspectives on Embedded Platforms.
  • FDRFCD: Feature Disentangling Representation and Fusion Deep Network for Remote Sensing Image Change Detection.
  • WSFFormer: LightWeight Wavelet Spatial-Frequency Vision Transformer for Visual Representation Learning.
  • Pose-Enhanced 3D Rotary Embedding for Multi-View 3D Object Detection.
  • Exploratory Study on Enhancing Generalization Performance of Transformer Architectures in MedicalImage Segmentation: A Survey.
  • Planar KNN for Multi-Camera Interference Mitigation of Point Cloud.
  • Frequency-Enhanced Part Feature Mining and Cross-Modality Alignment for Visible-Infrared Person Re-Identification.
  • SRL-UNet: An Improved Residual U-Net with 2D-Selective-Scan for Nuclear Segmentation.

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