SCCDNet: A Pixel-Level Crack Segmentation Network

Increasing the robustness of material-specific deep learning models for crack detection across different materials

(2020) Mohamad Alipour et al.   ENGINEERING STRUCTURES

Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine

(2020) Pang‐jo Chun et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Bridge Crack Detection Based on SSENets

(2020) Haotian Li et al.   Applied Sciences-Basel

Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning

(2020) Tatsuro Yamane et al.   Journal of Advanced Concrete Technology

DeepCrack: A deep hierarchical feature learning architecture for crack segmentation

(2019) Yahui Liu et al.   NEUROCOMPUTING

Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

(2019) Yue Fei et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automatic Road Crack Detection Using Random Structured Forests

(2016) Yong Shi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Matched Filtering Algorithm for Pavement Cracking Detection

(2013) Allen Zhang et al.   TRANSPORTATION RESEARCH RECORD

FoSA: F* Seed-growing Approach for crack-line detection from pavement images

(2011) Qingquan Li et al.   IMAGE AND VISION COMPUTING

CrackTree: Automatic crack detection from pavement images

(2011) Qin Zou et al.   PATTERN RECOGNITION LETTERS