{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T01:28:00Z","timestamp":1785288480743,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union?s Horizon 2020 Research and Innovation Programme","award":["955356"],"award-info":[{"award-number":["955356"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,5]]},"DOI":"10.1145\/3594806.3596560","type":"proceedings-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:38:12Z","timestamp":1691689092000},"page":"596-602","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Deep transformer networks for precise pothole segmentation tasks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9339-1546","authenticated-orcid":false,"given":"Iason","family":"Katsamenis","sequence":"first","affiliation":[{"name":"Institute of Communications and Computer Systems, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4653-8530","authenticated-orcid":false,"given":"Athanasios","family":"Sakelliou","sequence":"additional","affiliation":[{"name":"iKnowHow S.A, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3106-4758","authenticated-orcid":false,"given":"Nikolaos","family":"Bakalos","sequence":"additional","affiliation":[{"name":"Institute of Communications and Computer Systems, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3876-0024","authenticated-orcid":false,"given":"Eftychios","family":"Protopapadakis","sequence":"additional","affiliation":[{"name":"University of Macedonia, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4658-1536","authenticated-orcid":false,"given":"Christos","family":"Klaridopoulos","sequence":"additional","affiliation":[{"name":"iKnowHow S.A, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9446-2297","authenticated-orcid":false,"given":"Nikolaos","family":"Frangakis","sequence":"additional","affiliation":[{"name":"iKnowHow S.A, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0612-5889","authenticated-orcid":false,"given":"Matthaios","family":"Bimpas","sequence":"additional","affiliation":[{"name":"Institute of Communication and Computer Systems, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9550-0088","authenticated-orcid":false,"given":"Dimitris","family":"Kalogeras","sequence":"additional","affiliation":[{"name":"Institute of Communications and Computer Systems, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"e_1_3_2_1_1_1","article-title":"Advanced cold patching materials (CPMs) for asphalt pavement pothole rehabilitation: State of the art","author":"Wang T.","year":"2022","unstructured":"Wang, T., Dra, Y. A. S. S., Cai, X., Cheng, Z., Zhang, D., Lin, Y., & Yu, H. (2022). Advanced cold patching materials (CPMs) for asphalt pavement pothole rehabilitation: State of the art. Journal of Cleaner Production, 133001.","journal-title":"Journal of Cleaner Production, 133001."},{"key":"e_1_3_2_1_2_1","volume-title":"Deep Learning Approach for Pothole Detection-A Systematic Review. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 1410-1414)","author":"Guhan S.","year":"2023","unstructured":"SB, B. K., Guhan, S., Kishore, M., & Santhosh, R. (2023, March). Deep Learning Approach for Pothole Detection-A Systematic Review. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 1410-1414). IEEE."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.28.3.033034"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104182"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2931297"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-07412-9"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/app10196662"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2011.5978573"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2017.08.017"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2931297"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3389189.3397997"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICAICTA.2019.8904105"},{"key":"e_1_3_2_1_13_1","volume-title":"Deep learning models for COVID-19 infected area segmentation in CT images. In the 14th PErvasive technologies related to assistive environments conference (pp. 404-411)","author":"Voulodimos A.","unstructured":"Voulodimos, A., Protopapadakis, E., Katsamenis, I., Doulamis, A., & Doulamis, N. (2021, June). Deep learning models for COVID-19 infected area segmentation in CT images. In the 14th PErvasive technologies related to assistive environments conference (pp. 404-411)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64556-4_13"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12040898"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3198469"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1061\/JPEODX.PVENG-1180"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-7943-9_16"},{"key":"e_1_3_2_1_20_1","volume-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","author":"Chen L. C.","year":"2017","unstructured":"Chen, L. C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2017). Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence, 40(4), 834-848."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.07.029"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Ma N. Fan J. Wang W. Wu J. Jiang Y. Xie L. and Fan R. 2022. Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms. Transportation safety and Environment 4(4) p.tdac026.","DOI":"10.1093\/tse\/tdac026"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12091354"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1088\/2057-1976\/ac53bd"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21062215"},{"key":"e_1_3_2_1_26_1","volume-title":"2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA) (pp. 1-4). IEEE.","author":"Pereira V.","unstructured":"Pereira, V., Tamura, S., Hayamizu, S. and Fukai, H., 2019, September. Semantic segmentation of paved road and pothole image using u-net architecture. In 2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA) (pp. 1-4). IEEE."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Fan R. Wang H. Wang Y. Liu M. and Pitas I. 2021. Graph attention layer evolves semantic segmentation for road pothole detection: A benchmark and algorithms. IEEE transactions on image processing 30 pp.8144-8154.","DOI":"10.1109\/TIP.2021.3112316"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Zhou Z. Siddiquee M.M.R. Tajbakhsh N. and Liang J. 2019. Unet++: Redesigning skip connections to exploit multiscale features in image segmentation. IEEE transactions on medical imaging 39(6) pp.1856-1867.","DOI":"10.1109\/TMI.2019.2959609"},{"issue":"6","key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JPHOT.2019.2950949","article-title":"Fusion PSPnet image segmentation based method for multi-focus image fusion","volume":"11","author":"Zhou J.","year":"2019","unstructured":"Zhou, J., Hao, M., Zhang, D., Zou, P. and Zhang, W., 2019. Fusion PSPnet image segmentation based method for multi-focus image fusion. IEEE Photonics Journal, 11(6), pp.1-12.","journal-title":"IEEE Photonics Journal"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the IEEE international conference on computer vision (pp. 2961-2969)","author":"He K.","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P. and Girshick, R., 2017. Mask r-cnn. In Proceedings of the IEEE international conference on computer vision (pp. 2961-2969)."},{"key":"e_1_3_2_1_31_1","volume-title":"Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques. In 2020 IEEE REGION 10 CONFERENCE (TENCON) (pp. 1386-1391)","author":"Thiruppathiraj S.","unstructured":"Thiruppathiraj, S., Kumar, U., & Buchke, S. (2020, November). Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques. In 2020 IEEE REGION 10 CONFERENCE (TENCON) (pp. 1386-1391). IEEE."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437120.3437300"},{"key":"e_1_3_2_1_33_1","volume-title":"2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78)","author":"Pramanik A.","year":"2021","unstructured":"Pramanik, A., Bijoy, M. H. I., & Rahman, M. S. (2021, December). Detection of Potholes using Convolutional Neural Network Models: A Transfer Learning Approach. In 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78). IEEE."},{"key":"e_1_3_2_1_34_1","volume-title":"2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78)","author":"Pramanik A.","unstructured":"Pramanik, A., Bijoy, M.H.I. and Rahman, M.S., 2021, December. Detection of Potholes using Convolutional Neural Network Models: A Transfer Learning Approach. In 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78). IEEE."},{"key":"e_1_3_2_1_35_1","first-page":"1","volume-title":"Mobile Networks and Applications","author":"Jana S.","unstructured":"Jana, S., Middya, A.I. and Roy, S., 2023. Participatory Sensing Based Urban Road Condition Classification using Transfer Learning. Mobile Networks and Applications, pp.1-17."},{"key":"e_1_3_2_1_36_1","volume-title":"2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78)","author":"Pramanik A.","year":"2021","unstructured":"Pramanik, A., Bijoy, M. H. I., & Rahman, M. S. (2021, December). Detection of Potholes using Convolutional Neural Network Models: A Transfer Learning Approach. In 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) (pp. 73-78). IEEE."},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 628-635)","author":"Katsamenis I.","unstructured":"Katsamenis, I., Bimpas, M., Protopapadakis, E., Zafeiropoulos, C., Kalogeras, D., Doulamis, A., Doulamis, N., Mart\u00edn-Portugu\u00e9s Montoliu, C., Handanos, Y., Schmidt, F., Ott, L., Cantero, M. and Lopez, R.. (2022, June). Robotic maintenance of road infrastructures: The heron project. In Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 628-635)."},{"key":"e_1_3_2_1_38_1","first-page":"349","volume-title":"Evaluating YOLO Transferability Limitation for Road Infrastructures Monitoring. In Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022)","author":"Katsamenis I.","year":"2022","unstructured":"Katsamenis, I., Davradou, A., Karolou, E. E., Protopapadakis, E., Doulamis, A., Doulamis, N., & Kalogeras, D. (2022, September). Evaluating YOLO Transferability Limitation for Road Infrastructures Monitoring. In Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022) (pp. 349-358). Cham: Springer International Publishing."},{"key":"e_1_3_2_1_39_1","first-page":"382","volume-title":"Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022)","author":"Katsamenis I.","year":"2022","unstructured":"Katsamenis, I., Karolou, E. E., Davradou, A., Protopapadakis, E., Doulamis, A., Doulamis, N., & Kalogeras, D. (2022, September). TraCon: A novel dataset for real-time traffic cones detection using deep learning. In Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022) (pp. 382-391). Cham: Springer International Publishing."},{"key":"e_1_3_2_1_40_1","volume-title":"A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. arXiv preprint arXiv:2303.01582","author":"Katsamenis I.","year":"2023","unstructured":"Katsamenis, I., Protopapadakis, E., Bakalos, N., Doulamis, A., Doulamis, N., & Voulodimos, A. (2023). A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. arXiv preprint arXiv:2303.01582."},{"key":"e_1_3_2_1_41_1","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie E.","year":"2021","unstructured":"Xie, E., Wang, W., Yu, Z., Anandkumar, A., Alvarez, J. M., & Luo, P. (2021). SegFormer: Simple and efficient design for semantic segmentation with transformers. Advances in Neural Information Processing Systems, 34, 12077-12090.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"e_1_3_2_1_44_1","volume-title":"Attention is all you need. Advances in neural information processing systems, 30","author":"Vaswani A.","year":"2017","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141. and Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2933750"},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings, Part IV 16 (pp. 285-300)","author":"Fan R.","year":"2020","unstructured":"Fan, R., Wang, H., Bocus, M. J., & Liu, M. (2020). We learn better road pothole detection: from attention aggregation to adversarial domain adaptation. In Computer Vision\u2013ECCV 2020 Workshops: Glasgow, UK, August 23\u201328, 2020, Proceedings, Part IV 16 (pp. 285-300). Springer International Publishing."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2808770"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2947206"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.06.001"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2212712"},{"key":"e_1_3_2_1_51_1","volume-title":"IGI Global","author":"De Marsico M.","year":"2014","unstructured":"De Marsico, M., Nappi, M., Tistarelli, M., 2014, Face recognition in adverse conditions, IGI Global, Hershey, PA, USA, 2014."}],"event":{"name":"PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","location":"Corfu Greece","acronym":"PETRA '23"},"container-title":["Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3596560","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3594806.3596560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:07Z","timestamp":1750182547000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3596560"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,5]]},"references-count":51,"alternative-id":["10.1145\/3594806.3596560","10.1145\/3594806"],"URL":"https:\/\/doi.org\/10.1145\/3594806.3596560","relation":{},"subject":[],"published":{"date-parts":[[2023,7,5]]},"assertion":[{"value":"2023-08-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}