LEADER 05437nam 22007455 450 001 9910999675603321 005 20250423130208.0 010 $a3-031-85181-1 024 7 $a10.1007/978-3-031-85181-0 035 $a(CKB)38537894100041 035 $a(DE-He213)978-3-031-85181-0 035 $a(MiAaPQ)EBC32023850 035 $a(Au-PeEL)EBL32023850 035 $a(EXLCZ)9938537894100041 100 $a20250423d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition $e46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10?13, 2024, Proceedings, Part I /$fedited by Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XVII, 365 p. 113 illus., 103 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15297 311 08$a3-031-85180-3 327 $a -- 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. 330 $aThis 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024. The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections: Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability. Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15297 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer systems 606 $aEducation$xData processing 606 $aApplication software 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer System Implementation 606 $aComputers and Education 606 $aComputer and Information Systems Applications 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer systems. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer System Implementation. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 676 $a006 702 $aCremers$b Daniel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLähner$b Zorah$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMoeller$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNießner$b Matthias$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOmmer$b Björn$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTriebel$b Rudolph$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999675603321 996 $aPattern Recognition$9381471 997 $aUNINA