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.

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. .