Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 1013, 2024, Proceedings, Part I [Pehme köide]

.- 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 Isnt 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.