The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces
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Citations
Cites
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01234-2_49 · Cited by 20,054
Autonomous concrete crack detection using deep fully convolutional neural network
Dung, C. V., & Anh, L. D. (2019) · Automation in Construction · doi:10.1016/j.autcon.2018.11.028 · Cited by 1,170
Azimi, M., Eslamlou, A., & Pekcan, G. (2020) · Sensors · doi:10.3390/s20102778 · Cited by 769
Computing receptive fields of convolutional neural networks
Araujo, A., Norris, W., & Sim, J. (2019) · Distill · doi:10.23915/distill.00021 · Cited by 312
Cited by
Maurício, J., Domingues, I., & Bernardino, J. (2023) · Applied Sciences · doi:10.3390/app13095521 · Cited by 579
Metadata
- Authors
- Asadi Shamsabadi, E., Xu, C., Rao, A. S., Nguyen, T., Ngo, T., & Dias-da-Costa, D.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 140
- Pages
- 104316
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W4280491056
- Cited by
- 241
- References
- 4
- FWCI
- 21.53
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Vision transformer-based autonomous crack detection on asphalt and concrete surfaces. https://app.cochat.ai/papers/10.1016/j.autcon.2022.104316
- The paper
- Asadi Shamsabadi, E., Xu, C., Rao, A. S., Nguyen, T., Ngo, T., & Dias-da-Costa, D. (2022). Vision transformer-based autonomous crack detection on asphalt and concrete surfaces. Automation in Construction. https://doi.org/10.1016/j.autcon.2022.104316
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
