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https://hdl.handle.net/10356/153127| Title: | Evaluations of deep learning methods for detection of gap in concrete structures | Authors: | Yang, Zhen | Keywords: | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Yang, Z. (2021). Evaluations of deep learning methods for detection of gap in concrete structures. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153127 | Abstract: | This dissertation applies 3 networks(FRCNN,Yolov3,Yolov4) to solve gap detection on a very small data set and make brief evaluations about their structures and performances. | URI: | https://hdl.handle.net/10356/153127 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Theses |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Evaluations of Deep Learning Methods for Detection of Gap in Concrete Structures.pdf Restricted Access | 7.25 MB | Adobe PDF | View/Open |
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