Pattern Recognition

This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.
The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:
Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.
Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.

. - Clustering and Segmentation.

. - PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks.

. - A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning.

. - Self-Supervised Semantic Segmentation from Audio-Visual Data.

. - BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation.

. - Learning Techniques.

. - FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks.

. - Self-Masking Networks for Unsupervised Adaptation.

. - A Theoretical Formulation on the Use of Multiple Positive Views in Contrastive Learning

. - Decoupling of neural network calibration measures.

. - Examining Common Paradigms in Multi-Task Learning.

. - DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning.

. - Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval . .

. - Anomaly Detection with Conditioned Denoising Diffusion Models.

. - Medical and Biological Applications.

. - SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network.

. - Foundation Models Permit Retinal Layer Segmentation Across OCT Devices.

. - Correlation Clustering of Organoid Images.

. - Animal Identification with Independent Foreground and Background Modeling.

. - Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks.

. - Bigger Isn t Always Better: Towards a General Prior for Medical Image Reconstruction.

. - Uncertainty and Explainability.

. - Latent Diffusion Counterfactual Explanations.

. - Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.

. - Uncertainty Voting Ensemble for Imbalanced Deep Regression.

. - Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning.