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Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques
Research article (Automation in Construction, 2020) · cited 112× · AI/ML
Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques
Summary
Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques is a scholarly article[1].
Key Facts
Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-augmentation-to-improve-construction-resource-detection-using-generative-adversarial-networks-cut-and-paste-and-im
MLA“Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-augmentation-to-improve-construction-resource-detection-using-generative-adversarial-networks-cut-and-paste-and-im.
BibTeX@misc{4ortxyz_image-augmentation-to-improve-construction-resource-detection-using-generative-adversarial-networks-cut-and-paste-and-im_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques}}, year = {2026}, url = {https://4ort.xyz/entity/image-augmentation-to-improve-construction-resource-detection-using-generative-adversarial-networks-cut-and-paste-and-im}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques — https://4ort.xyz/entity/image-augmentation-to-improve-construction-resource-detection-using-generative-adversarial-networks-cut-and-paste-and-im (retrieved 2026-05-24)
