Pattern Recognition : 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings / edited by Ullrich Köthe, Carsten Rother.

Format:

Book

Author/Creator:

Köthe, Ullrich.

Contributor:

Rother, Carsten.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14264

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence.

Application software.

Computer systems.

Education--Data processing.

Education.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer System Implementation.

Computers and Education.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer System Implementation.

Computers and Education.

Physical Description:

1 online resource (648 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031546051

3031546059

OCLC:

1425901285