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_aPattern Recognition _h[electronic resource] : _b45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings / _cedited by Ullrich Köthe, Carsten Rother. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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300 |
_aXV, 641 p. 206 illus., 191 illus. in color. _bonline resource. |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14264 |
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505 | 0 | _aSegmentation and action recognition -- Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions -- A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Temporal Action Detection -- Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery -- UGainS: Uncertainty Guided Anomaly Instance Segmentation -- Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition -- 3D reconstruction and neural rendering -- LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds -- A Network Analysis for Correspondence Learning via Linearly-Embedded Functions -- HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture -- Point2Vec for Self-Supervised Representation Learning on Point Clouds -- FullFormer: Generating Shapes Inside Shapes -- GenLayNeRF: Generalizable Layered Representations with 3D ModelAlignment for Human View Synthesis -- RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion -- Parallax-aware Image Stitching based on Homographic Decomposition -- Photogrammetry and remote sensing -- DustNet: Attention to Dust -- Leveraging Bioclimatic Context for Supervised and Self-Supervised Land Cover Classification -- Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images -- Characterization of out-of-distribution samples from uncertainty maps using supervised machine learning -- Underwater multiview stereo using axial camera models -- Pattern recognition in the life sciences -- 3D Retinal Vessel Segmentation in OCTA Volumes: Annotated Dataset MORE3D and Hybrid U-Net with Flattening Transformation -- M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms -- Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping -- Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing -- Self-Supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading -- Interpretable machine learning -- DeViL: Decoding Vision features into Language -- Zero-shot Translation of Attention Patterns in VQA Models to Natural Language -- Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization -- Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification -- Weak supervision and online learning -- Best Practices in Active Learning for Semantic Segmentation -- COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking -- Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality -- Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations -- Text-to-feature diffusion for audio-visual few-shot learning -- Correlation Clustering of Bird Sounds -- MargCTGAN: A ``Marginally'' Better CTGAN for the Low Sample Regime -- Robust models -- Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Adversarial Perturbations Straight on JPEG Coefficients -- Certified Robust Models with Slack Control and Large Lipschitz Constants -- Multiclass Alignment of Confidence and Certainty for Network Calibration -- Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels -- An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. | |
520 | _aThis book constitutes the proceedings of the 45th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2023, which took place in Heidelberg, Germany, during September 19-22, 2023. The 40 full papers included in these proceedings were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: Segmentation and action recognition; 3D reconstruction and neural rendering; Photogrammetry and remote sensing; Pattern recognition in the life sciences; Interpretable machine learning; Weak supervision and online learning; Robust models. | ||
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_aImage processing _xDigital techniques. _94145 |
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_aComputer vision. _998852 |
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_aArtificial intelligence. _93407 |
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_aApplication software. _998853 |
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_aComputer systems. _998855 |
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_aEducation _xData processing. _982607 |
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_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
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_aArtificial Intelligence. _93407 |
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_aComputer and Information Systems Applications. _998858 |
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_aComputer System Implementation. _938514 |
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_aComputers and Education. _941129 |
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_aKöthe, Ullrich. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _998861 |
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_aRother, Carsten. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _998863 |
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