Optimized deep encoder-decoder methods for crack segmentation

Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

(2020) Weidong Song et al.   JOURNAL OF ADVANCED TRANSPORTATION

Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

(2020) Zhun Fan et al.   Coatings

DeepCrack: A deep hierarchical feature learning architecture for crack segmentation

(2019) Yahui Liu et al.   NEUROCOMPUTING

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

(2019) Fan Yang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Road Extraction by Deep Residual U-Net

(2018) Zhengxin Zhang et al.   IEEE Geoscience and Remote Sensing Letters

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

(2018) Qin Zou et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation

(2018) Michael Kampffmeyer et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

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

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automatic Road Crack Detection and Characterization

(2012) Henrique Oliveira et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Contour Detection and Hierarchical Image Segmentation

(2010) P Arbeláez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE