Semantic segmentation and uncertainty quantification with vision transformers for industrial applications
Chapter in the book
Publisher:KIT Scientific Publishing
By: Kira Wursthorn, Lili Gao, Steven Landgraf and Markus Ulrich
Table of contents
Automated image-based parameter optimization for single-pulse laser drilling
Release 4.1 of the EMVA standard 1288: A universal concept to characterize modern image sensors
Beitrag zur robusten Parameterschätzung - Iteratively reweighted least squares revisited
The future of machine vision: AI software designed with users in mind
Constrained hand-multiple-eyes calibration
Machine learning-based battery electrode foil inspection
Deep learning-based localisation of combine harvester components in thermal images
Noise analysis of a synthetically rendered scene in sensor-realistic image simulation
Performance comparison of area-scan and event-based camera
Benefiting from quantum? A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack segmentation
Fast semantic segmentation CNNs for FPGAs
Semantic segmentation and uncertainty quantification with vision transformers for industrial applications
Evaluation of multi-task uncertainties in joint semantic segmentation and monocular depth estimation
Evaluation of 3D-LiDAR based person detection algorithms for edge computing
Explainable fatigue detection in assembly tasks through graph neural networks
Visual car brand classification by implementing a synthetic image dataset creation pipeline
Robuste Ampeldetektion und Haltelinienfreigabe durch Kartenassoziation in automatisierten Fahrzeugen - Robust traffic light detection and stopline release by map association for automated driving
AI scratching your car: Using diffusion models for training data generation in automotive damage detection
Image stitching using gradual image warping in autonomous driving
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Paperback ISBN: 978-3-7315-1386-5 | DOI: https://doi.org/10.58895/ksp/1000174496
Publisher: KIT Scientific Publishing
Publication date: 2024
Language: English
Pages: 250
Related subjects:
BISAC subjects:
TEC007000
Thema subjects:
THR