A Direct Regression Scene Text Detector With Position-Sensitive Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2947475
Abstract: Direct regression methods have demonstrated their success on various multi-oriented benchmarks for scene text detection due to the high recall rate for small targets and the direct regression for text boxes. However, too many false… read more here.
Keywords: position sensitive; sensitive segmentation; direct regression; position ... See more keywords
Genetic algorithm optimization of a horizontal axis wind turbine blade section performance equipped with a single dielectric barrier discharge plasma actuator utilizing a direct regression model
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/09544062221104346
Abstract: The usage of a single dielectric barrier discharge plasma actuator (SDBD-PA) device for improving a aerodynamic performance of a locally developed horizontal axis wind turbine blade section is studied with one of the most recent… read more here.
Keywords: direct regression; performance; model; blade section ... See more keywords
Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures
Sign Up to like & getrecommendations! Published in 2024 at "Diagnostics"
DOI: 10.3390/diagnostics14222605
Abstract: Background: Cephalometric analysis is important in diagnosing and planning treatments for patients, traditionally relying on 2D cephalometric radiographs. With advancements in 3D imaging, automated landmark detection using deep learning has gained prominence. However, 3D imaging… read more here.
Keywords: detection; cnn; multi scale; direct regression ... See more keywords