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References from CFUNet: An Adaptive RGB–Depth Cross-Modal Fusion Network for Pavement Crack Segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2015 · External reference
Unresolved reference
2015 · External reference
A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
10.1109/tpami.2016.2644615 · 2017 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2016 · External reference
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
2020 · External reference
Simple and Efficient Design for Semantic Segmentation with Transformers
2021 · External reference
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2021 · External reference
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2022 · External reference
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
2024 · External reference
Unresolved reference
2022 · External reference
A Fusion Transformer U-Net for RGB–DSM Semantic Segmentation of Remote Sensing Images
2024 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2012 · External reference
Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation
2024 · External reference
Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance
10.1016/j.autcon.2022.104678 · 2023 · External reference
Unresolved reference
2016 · External reference
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 · External reference
Unresolved reference
2018 · External reference
