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

Fr. 113.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.07.2025

Abbildungen

XXI, 219 illus., 191 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

De-Shuang Huang + weitere

Verlag

Springer Singapore

Seitenzahl

527

Maße (L/B/H)

23.5/15.5/3 cm

Gewicht

826 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9698-62-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.07.2025

Abbildungen

XXI, 219 illus., 191 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Singapore

Seitenzahl

527

Maße (L/B/H)

23.5/15.5/3 cm

Gewicht

826 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9698-62-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Intelligent Computing Technology and Applications
  • .- 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.