1 | Čiapas, Bernardas; Treigys, Povilas. Centre-loss—A preferred class verification approach over sample-to-sample in self-checkout products datasets // IET computer vision. Hoboken : Wiley. ISSN 1751-9632. eISSN 1751-9640. 2024, vol. 18, iss. 7, p. 1004-1016. DOI: 10.1049/cvi2.12302. |
2 | Čiapas, Bernardas; Treigys, Povilas. Automated barcodeless product classifier for food retail self-checkout images // Visual computer. New York : Springer. ISSN 0178-2789. eISSN 1432-2315. 2024, vol. 40, p. 6245-6259. DOI: 10.1007/s00371-023-03163-8. |
3 | Čiapas, Bernardas; Treigys, Povilas. Self-checkout product class verification using center loss approach // WSCG 2023: 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic, May 15 – 19, 2023 : proceedings. Pilsen : University of West Bohemia, 2023. eISBN 9788086943329. p. 21-28. (Computer Science Research Notes CSRN, ISSN 2464-4617, eISSN 2464-4625 ; vol. 3301). DOI: 10.24132/CSRN.3301.4. |
4 | Čiapas, Bernardas; Treigys, Povilas. Retail self-checkout image classification performance: similar class grouping or individual class classification approach // Digital business and intelligent systems. 15th International Baltic Conference, Baltic DB&IS 2022, Riga, Latvia, July 4–6, 2022 : proceedings. Cham : Springer, 2022. ISBN 9783031098499. eISBN 9783031098505. p. 167-182. (Communications in Computer and Information Science (CCIS), ISSN 1865-0929, eISSN 1865-0937 ; vol. 1598). DOI: 10.1007/978-3-031-09850-5_12. |
5 | Čiapas, Bernardas; Treigys, Povilas. High F-score model for recognizing object visibility in images with occluded objects of interest // Baltic journal of modern computing. Riga : Univeristy of Latvia. ISSN 2255-8942. eISSN 2255-8950. 2021, vol. 9, no. 1, p. 35-48. DOI: 10.22364/bjmc.2021.9.1.3. |
6 | Čiapas, Bernardas; Treigys, Povilas. Expanding convolutional networks with SIFT features to classify images better // 11th international workshop on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences. Vilnius : Vilnius University, 2019. ISBN 9786090703243. eISBN 9786090703250. p. 18. Prieiga per internetą: <https://www.mii.lt/datamss/files/DAMSS_2019.pdf>. |