Del 16125 i serien Lecture Notes in Computer Science

Pattern Recognition

47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings

Häftad, Engelska, 2026

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This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025.The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions. They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing.

Produktinformation

Utgivningsdatum2026-01-03
Mått155 x 235 x 36 mm
Vikt996 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor649
FörlagSpringer Nature Switzerland AG
ISBN9783032128393

Tillhör följande kategorier

.- Computer Vision Systems and Applications..- Box it and Track it: A Weakly Supervised Framework for Cell Tracking..- A Cascaded Dilated Convolution Approach for Mpox Lesion Classification..- HistDiST: Histopathological Diffusion-based Stain Transfer..- Deep Learning-Assisted Dynamic Mode Decomposition for Non-resonant Background Removal in CARS Spectroscopy..- γ-Quant: Towards Learnable Quantization for Low-bit PatternRecognition..- EVCS: A Benchmark for Fine-Grained Electric Vehicle ChargingStation Detection..- Video Analysis and Synthesis..- SegSLR: Promptable Video Segmentation for Isolated Sign LanguageRecognition..- Video Object Segmentation-aware Audio Generation..- MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices..- VisualChef: Generating Visual Aids in Cooking via Mask Inpainting..- StorySync: Training-Free Subject Consistency via Region Harmonization..- Structured Universal Adversarial Attacks on Object Detection forVideo Sequences..- Road Obstacle Video Segmentation..- Machine Learning Methods..- Don’t Miss Out on Novelty: Importance of Novel Features for DeepAnomaly Detection..- LADB: Latent Aligned Diffusion Bridges for Semi-Supervised DomainTranslation..- On the Dangers of Bootstrapping Generation for Continual Learningand Beyond..- Combined Image Data Augmentations diminish the benefits ofAdaptive Label Smoothing..- Efficient Masked Attention Transformer for Few-Shot Classificationand Segmentation..- Applications of Foundation Models..- Using Knowledge Graphs to harvest datasets for efficient CLIP modeltraining..- Unlocking In-Context Learning for Natural Datasets Beyond LanguageModelling..- Investigating Structural Pruning and Recovery Techniques forCompressing Multimodal Large Language Models: An Empirical Study..- Assessing Foundation Models for Mold Colony Detection with LimitedTraining Data..- Common Data Properties Limit Object-Attribute Binding in CLIP..- subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validationin Drug Discovery..- Safety and Robustness..- synth-dacl: Does Synthetic Defect Data Enhance SegmentationAccuracy and Robustness for Real-World Bridge Inspections?..- FedPCE: Federated Personalized Client Embeddings for Post-trainingKnowledge Distillation..- Object Risk Estimation for Autonomous Driving Safety..- Rethinking Semi-supervised Segmentation Beyond Accuracy:Robustness and Reliability..- Detection of Synthetic Face Images: Accuracy, Robustness, Generalization..- 3D Perception and Reconstruction..- MT-Occ: Single-View 3D Occupancy Prediction via Multi-Task Distillation..- Hierarchical Insights: Exploiting Structural Similarities for Reliable 3DSemantic Segmentation..- CoProU-VO: Combining Projected Uncertainty for End-to-EndUnsupervised Monocular Visual Odometry..- Combining Absolute and Semi-Generalized Relative Poses for VisualLocalization..- Graph Roof Reconstruction with Synthetic Data from Misaligned Labels..- sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for3D Reconstruction from Sparse-Views..- Photogrammetry and Remote Sensing..- NaT-ReX: Naturalness Assessment with Transformer-Based ReliableExplainability..- Semantic Segmentation of Structural Damage: A Comparative Studyof YOLO11 and Encoder-Decoder Networks..- Can Multitask Learning Enhance Model Explainability?..- Out-of-Distribution Detection in LiDAR Semantic Segmentation UsingEpistemic Uncertainty from Hierarchical GMMs..- RadarSeq: A Temporal Vision Framework for User Churn Predictionvia Radar Sequence Chart.