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DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
Created
2019-01-10
48 commits to master branch, last one about a year ago
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Awa...
Created
2021-06-11
75 commits to main branch, last one 8 months ago
This repo contains customized deep learning models for segmenting cracks.
Created
2020-05-12
51 commits to master branch, last one 3 years ago
Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"
Created
2023-02-27
16 commits to main branch, last one 5 months ago
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM)...
Created
2023-01-30
40 commits to main branch, last one 9 months ago