Crack-JPU – A crack segmentation method using atrous convolution

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...

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Bibliographic Details
Main Authors: G.R. Nikhade, P. Khandelwal, Pravinkumar Sonsare, Kishore Yadlapati, SSSR Sarathbabu Duvvuri
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Measurement: Sensors
Subjects:
Deep learning
Joint pyramid upsampling
CrackJPU
Semantic segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917424000564

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http://www.sciencedirect.com/science/article/pii/S2665917424000564

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