Anomaly Detection with Transformers in Face Anti-spoofing
| dc.contributor.author | Abduh, Latifah | |
| dc.contributor.author | Luma, Omar | |
| dc.contributor.author | Ivrissimtzis, Ioannis | |
| dc.contributor.editor | Skala, Václav | |
| dc.date.accessioned | 2023-10-03T16:55:31Z | |
| dc.date.available | 2023-10-03T16:55:31Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract-translated | Transformers are emerging as the new gold standard in various computer vision applications, and have already been used in face anti-spoofing demonstrating competitive performance. In this paper, we propose a network with the ViT transformer and ResNet as the backbone for anomaly detection in face anti-spoofing, and compare the performance of various one-class classifiers at the end of the pipeline, such as one-class SVM, Isolation Forest, and decoders. Test results on the RA and SiW databases show the proposed approach to be competitive as an anomaly detection method for face anti-spoofing. | en |
| dc.format | 8 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Journal of WSCG. 2023, vol. 31, no. 1-2, p. 91-98. | en |
| dc.identifier.doi | https://www.doi.org/10.24132/JWSCG.2023.10 | |
| dc.identifier.issn | 1213 – 6972 (hard copy) | |
| dc.identifier.issn | 1213 – 6980 (CD-ROM) | |
| dc.identifier.issn | 1213 – 6964 (on-line) | |
| dc.identifier.uri | http://hdl.handle.net/11025/54288 | |
| dc.language.iso | en | en |
| dc.publisher | Václav Skala - UNION Agency | en |
| dc.rights | © Václav Skala - UNION Agency | en |
| dc.rights.access | openAccess | en |
| dc.subject | útok na prezentaci obličeje | cs |
| dc.subject | transformátor vidění | cs |
| dc.subject | ResNet | cs |
| dc.subject | detekce anomálií | cs |
| dc.subject | jednotřídní klasifikace | cs |
| dc.subject.translated | face presentation attack | en |
| dc.subject.translated | vision transformer | en |
| dc.subject.translated | ResNet | en |
| dc.subject.translated | anomaly detection | en |
| dc.subject.translated | one-class classification | en |
| dc.title | Anomaly Detection with Transformers in Face Anti-spoofing | en |
| dc.type | article | en |
| dc.type | článek | cs |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
Files
Original bundle
1 - 1 out of 1 results
No Thumbnail Available
- Name:
- !_2023-Journal_WSCG-101-108.pdf
- Size:
- 2.02 MB
- Format:
- Adobe Portable Document Format
- Description:
- Plný text
License bundle
1 - 1 out of 1 results
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: