@InProceedings{ZeniJung:2020:WeSuCh,
               author = "Zeni, Luis Felipe and Jung, Claudio",
          affiliation = "{Universidade Federal do Rio Grande do Sul} and {Universidade 
                         Federal do Rio Grande do Sul}",
                title = "Weakly Supervised Character Detection for License Plate 
                         Recognition",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "weakly supervised character detection, licence plate recognition, 
                         character detection, neural networks.",
             abstract = "Automatic Licence Plate Recognition (ALPR) is an essential task in 
                         the context of intelligent transportation systems. In a typical 
                         ALPR pipeline, the last stage receives as input a cropped license 
                         plate region and outputs the string with the plate characters. 
                         This paper presents a Weakly Supervised Character Detection (WSCD) 
                         approach that requires only string-level annotations (as in 
                         generic text recognition methods) but is able to detect characters 
                         individually (as in detection-based methods, which require 
                         character-level annotations). The proposed method is evaluated in 
                         five distinct datasets and present very competitive results 
                         against other state-of-the-art methods.",
  conference-location = "Porto de Galinhas (virtual)",
      conference-year = "7-10 Nov. 2020",
                  doi = "10.1109/SIBGRAPI51738.2020.00037",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00037",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/43AL935",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43AL935",
           targetfile = "21.pdf",
        urlaccessdate = "2024, Apr. 29"
}