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About Development of A Location Invariant Crack Detection and Localisation Model (LICDAL) in Unconstrained Oil Pipeline Images Using Deep Convolution Neural Networks
This document discusses the development of a location invariant crack detection and localization model in unconstrained oil pipeline images using deep convolutional neural networks. The proposed model called LICDAL is developed using transfer learning on Faster R-CNN and aims to detect and localize cracks with minimal reduction in performance even when tested on images from different locations than the training images, making it location invariant.
Detailed Information
| Author: | ['AI Coordinator - CSC Journals'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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