DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
Wuhan University · State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
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Abstract
No abstract available for this paper.
Citation impact
1,035
total citations
- FWCI
- 54.38
- Percentile
- 100%
- References
- 75
Citations per year
Authors
5- YLYahui Liu
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- JYJian YaoCorresponding
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- XLXiaohu Lu
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- RXRenping Xie
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- LLLi Li
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Topics & keywords
Topics
Keywords
- Computer science
- Convolutional neural network
- Artificial intelligence
- Benchmark (surveying)
- CRFS
- Conditional random field
- Pattern recognition (psychology)
- Segmentation
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