In this work we propose optimized deep encoder-decoder methods consisting of a combination of techniques which yield an increase in crack segmentation ...
Aug 14, 2020 · In this work we propose optimized deep encoder-decoder methods consisting of a combination of techniques which yield an increase in crack segmentation ...
Oct 22, 2024 · We add Crossor part between Encoder and Decoder [5, 6] , and use Crossor to pass the multilevel features in Encoder to Decoder to fuse the ...
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Optimized deep encoder-decoder methods for crack segmentation
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Jan 31, 2021 · In this work we propose optimized deep encoder-decoder methods consisting of a combination of techniques which yield an increase in crack segmentation ...
Sep 29, 2020 · In this work we propose optimized deep encoder-decoder methods consisting of a combination of techniques which yield an increase in crack ...
In this paper, a novel semantic transformer representation network (STRNet) is developed for crack segmentation at the pixel level in complex scenes in a real- ...
Sep 26, 2024 · We propose EfficientCrackNet, a lightweight hybrid model combining Convolutional Neural Networks (CNNs) and transformers for precise crack segmentation.
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Given the emergence of the new-generation architecture of Mamba, this paper proposes a Vision Mamba (VMamba)-based framework for crack segmentation on concrete, ...
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Apr 12, 2022 · This paper provides a concrete crack data set (370 images) and proposes two solutions that achieve the best results on two different crack data sets.