Hybrid DNN training using both synthetic and real construction images to overcome training data shortage
Although deep neural network (DNN)-powered visual scene understanding is a driving factor in a transition toward construction digitalization and robotic automation, a shortage of construction training images has been a roadblock to achieving DNNs' maximum performance potential. This data shorta...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/172882 |