Artificial Neural Networks and Machine Learning – ICANN 2023
Springer International Publishing (Verlag)
978-3-031-44209-4 (ISBN)
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023.
The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
A Data Augmentation based ViT for Fine-Grained Visual Classification.- A Detail Geometry Learning Network for High-Fidelity Face Reconstruction.- A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining.- A Multi-Scale Method for Cell Segmentation in Fluorescence Microscopy Images.- Adaptive interaction-based multi-view 3D object reconstruction.- An auxiliary modality based Text-Image matching methodology for fake news detection.- An Improved Lightweight YOLOv5 for Remote Sensing Images.- An Improved YOLOv5 with Structural Reparameterization for Surface Defect Detection.- ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images.- Cascaded Network-based Single-View Bird 3D Reconstruction.- CLASPPNet: A Cross-Layer Multi-Class Lane Semantic Segmentation Model Fused with Lane Detection Module.- Classification-based and Lightweight Networks For Fast Image Super Resolution.- CLN: Complementary Learning Network For 3D Face Reconstruction And Alignment.- Combining Edge-guided Attention and Sparse-connected U-Net for Detection of Image Splicing.- Contour-augmented Concept Prediction Network for image captioning.- Contrastive Knowledge Amalgamation for Unsupervised Image Classification.- Cross Classroom Domain Adaptive Object Detector for Student's Heads.- Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models.- DWA: Differential Wavelet Amplifier for Image Super-Resolution.- Dynamic Facial Expression Recognition in Unconstrained Real-World Scenarios Leveraging Dempster-Shafer Evidence Theory.- End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters.- E-Patcher: A Patch-based Efficient Network for Fast Whole Slide Images Segmentation.- Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality.- Extraction Method of Rotated Objects from High-resolution Remote Sensing Images.- Few-shot NeRF-based View Synthesis for Viewpoint-biased Camera Pose Estimation.- Ga-RFR: Recurrent Feature Reasoning with gated convolution for Chinese Inscriptions Image Inpainting.- Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.- Image Caption with Prior Knowledge Graph and Heterogeneous Attention.- Image Captioning for Nantong Blue Calico Through Stacked Local-Global Channel Attention Network.- Improving Image Captioning with Feature Filtering and Injection.- In silico study of single synapse dynamics using a three-state kinetic model.- Interpretable Image Recognition by Screening Class-specific and Class-shared Prototypes.- Joint Edge-guided and Spectral Transformation Network for Self-Supervised X-ray Image Restoration.- Lightweight Human Pose Estimation Based On Densely Guided Self-Knowledge Distillation.- MCAPR: Multi-Modality Cross Attention for Camera Absolute Pose Regression.- MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision.- Medical Image Segmentation and Saliency Detection through a Novel Color Contextual Extractor.- MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images.- Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks.- Multi-frame Tilt-angle Face Recognition Using Fusion Re-ranking.- Multi-scale field distillation for multi-task semantic segmentation.- Neural Field Conditioning Strategies for 2D Semantic Segmentation.- Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes.- PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis.- Pie-UNet: A novel Parallel Interaction Encoder for Medical Image Segmentation.- Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images.- PSR-Net A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images.
Erscheinungsdatum | 22.09.2023 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XXXV, 595 p. 224 illus., 213 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 955 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Adversarial Neural Networks • artificial neural networks (NN) • Bioinformatics • convolutional neural networks • cybersecurity • Deep learning • federated learning • graph clustering • graph neural networks • image-video analysis • machine learning • natural language • Object detection • Optimization • Recurrent Neural Networks • spiking neural networks • Text Mining • Timeseries |
ISBN-10 | 3-031-44209-1 / 3031442091 |
ISBN-13 | 978-3-031-44209-4 / 9783031442094 |
Zustand | Neuware |
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