Crack-JPU – A crack segmentation method using atrous convolution

Detecting cracks from images using embedded deep learning applications requires efficient and lightweight models in practice. To improve the computational efficiency of models, it is generally aim to reduce the model parameters as much as possible without compromising accuracy. Computational approac...

詳細記述

書誌詳細

出版年:	Measurement: Sensors
主要な著者:	G.R. Nikhade, P. Khandelwal, Pravinkumar Sonsare, Kishore Yadlapati, SSSR Sarathbabu Duvvuri
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-04-01
主題:	Deep learning Joint pyramid upsampling CrackJPU Semantic segmentation
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2665917424000564