- Deep learning|based instance segmentation of cracks from shield ...🔍
- Deep learning|based instance segmentation of cracks from ...🔍
- Deep learning|based YOLO for crack segmentation and ...🔍
- Deep Learning|Based Instance Segmentation of Cracks From ...🔍
- A deep learning|based approach for refined crack evaluation from ...🔍
- Deep learning–based image instance segmentation for moisture ...🔍
- Deep learning‐based classification and instance segmentation of ...🔍
- JiwenJ/Graduation|project🔍
Deep learning|based instance segmentation of cracks from shield ...
Deep learning-based instance segmentation of cracks from shield ...
Compared with the current image processing methods, the proposed DL-based method efficiently detects cracks in an image while simultaneously generating a high- ...
Deep learning-based instance segmentation of cracks from shield ...
Compared with the current image processing methods, the proposed DL-based method efficiently detects cracks in an image while simultaneously ...
Deep learning-based instance segmentation of cracks from shield ...
This paper presents a deep learning (DL)-based method for the instance segmentation of cracks from shield tunnel lining images using a mask region-based ...
Deep learning-based instance segmentation of cracks from shield ...
A deep learning (DL)-based method for the instance segmentation of cracks from shield tunnel lining images using a mask region-based convolutional neural ...
Deep learning-based instance segmentation of cracks from shield ...
This paper presents a deep learning (DL)-based method for the instance segmentation of cracks from shield tunnel lining images using a mask region-based ...
Deep learning-based instance segmentation of cracks from ... - Zendy
This paper presents a deep learning (DL)-based method for the instance segmentation of cracks from shield tunnel lining images using a mask region-based ...
Deep learning-based YOLO for crack segmentation and ...
This model is designed for detecting and segmenting cracks in tunnel linings and employs a pixel grouping method to measure crack length and width.
Deep Learning-Based Instance Segmentation of Cracks From ...
This document describes a study that uses a deep learning method called Mask R-CNN to perform instance segmentation of cracks in images of shield tunnel ...
A deep learning-based approach for refined crack evaluation from ...
The 'disjoint problem' occurs when the Mask R-CNN model misidentifies continuous tunnel lining cracks as multiple disconnected cracks during the segmentation ...
Deep learning–based image instance segmentation for moisture ...
This paper presents a method for the image instance segmentation of the moisture marks of shield tunnel lining using a mask-region-based convolutional ...
Deep learning‐based classification and instance segmentation of ...
This paper presents an approach for the integrated process of classification and instance segmentation of leakage-area and scaling images from shield tunnel ...
JiwenJ/Graduation-project: Multi-objective detection and instance ...
Title: Multi-objective detection and instance segmentation of shield tunnel diseases based on deep learning ... We utilize yolov5-7.0 to perform the object ...
Deep learning-based instance segmentation of cracks from shield ...
Supplementary Data. Deep learning-based instance segmentation of cracks from shield tunnel lining images. Authors: Huang, Hongwei; Zhao, Shuai; Zhang, ...
Deep learning based image recognition for crack and leakage ...
Deep learning-based instance segmentation of cracks from shield tunnel lining images · Hong-wei HuangShuai ZhaoDongming ZhangJiayao Chen. Engineering ...
An Automated Instance Segmentation Method for Crack Detection ...
It adopts a redesigned backbone network and incorporates a cascade structure for the region-based convolutional network (R-CNN) part. The experimental ...
Pixel-level crack segmentation of tunnel lining segments based on ...
This study proposes a novel encoder–decoder structure, CrackRecNet, for semantic segmentation of lining segment cracks by integrating improved VGG-19 into the ...
A deep learning-based approach for refined crack evaluation from ...
Huang, Deep learning-based instance segmentation of cracks from shield tunnel lining images, Struct. Infrastruct. Eng., с. 1; He, Mask R-CNN, IEEE Trans ...
Fast detection algorithm for cracks on tunnel linings based on deep ...
The proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speed of conventional models in complex ...
A hybrid attention deep learning network for refined segmentation of ...
A hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images · List of references · Publications that cite this ...
Joint Optimization of Crack Segmentation With an Adaptive Dynamic ...
H. Huang, S. Zhao, D. Zhang, and J. Chen, “Deep learning-based instance segmentation of cracks from shield tunnel lining images,” Struct.