Pattern Recognition 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part I /
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...
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| Diğer Yazarlar: | , , , , , |
| Materyal Türü: | Elektronik Ekitap |
| Dil: | İngilizce |
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Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edisyon: | 1st ed. 2025. |
| Seri Bilgileri: | Lecture Notes in Computer Science,
15297 |
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| Online Erişim: | https://doi.org/10.1007/978-3-031-85181-0 |
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İçindekiler:
- -- 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.