This 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.
Segmentation 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.
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