computer-vision-6
Laminar-Turbulent Flow Localisation
3260 papers • 126 benchmarks • 313 datasets
It is a segmentation task on thermographic measurement images in order to separate laminar and turbulent flow regions on flight body parts.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in laminar-turbulent-flow-localisation-6
Trend
Dataset
Best Model
Actions
Wind Tunnel and Flight Test Experiments
Wind Tunnel and Flight Test Experiments
Libraries
iUse these libraries to find laminar-turbulent-flow-localisation-6 models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
Automatic separation of laminar-turbulent flows on aircraft wings and stabilisers via adaptive attention butterfly network
Xiaoxiang Zhu, R. Kuzu, Philipp Mühlmann•Fri Sep 30 2022
This study investigates whether it is possible to separate flow regions with current deep learning techniques and proposes a flow segmentation architecture composed of two consecutive encoder-decoder is proposed, which is called Adaptive Attention Butterfly Network.
1