SHREC 2021: Retrieval of cultural heritage objects

• Autores: Sipiran I., Lazo P., Lopez C., Jimenez M., Bagewadi N., Bustos B., Dao H., Gangisetty S., Hanik M., Ho-Thi N.-P., Holenderski M., Jarnikov D., Labrada A., Lengauer S., Licandro R., Nguyen D.-H., Nguyen-Ho T.-L., Perez Rey L.A., Pham B.-D., Pham M.-K., Preiner R., Schreck T., Trinh Q.-H., Tonnaer L., von Tycowicz C., Vu-Le T.-A.
• Formato: artículo
• Fecha de Publicación: 2021
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/3053
• Enlace del recurso: https://hdl.handle.net/20.500.12390/3053; https://doi.org/10.1016/j.cag.2021.07.010
• Nivel de acceso: acceso abierto
• Materia: Cultural heritage; 3D model retrieval; Benchmarking; https://purl.org/pe-repo/ocde/ford#5.08.04

This work has been partially supported by Proyecto de Mejoramiento y Ampliación de los Servicios del Sistema Nacional de Ciencia, Tecnología e Innovación Tecnológica (Banco Mundial, Concytec), Nr. Grant 062-2018-FONDECYT-BM-IADT-AV. This work was supported by the European Commission (Bigmedilytics 780495, TRABIT 765148), the Austrian Research Promotion Agency (FFG) - BRIDGE (grant number: 878730), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy The Berlin Mathematics Research Center MATH+ (EXC-2046/1, project ID: 390685689), the Bundesministerium fuer Bildung und Forschung (BMBF) through BIFOLD - The Berlin Institute for the Foundations of Learning and Data (ref. 01IS18025A and ref 01IS18037A). This work has also received funding from the NWO-TTW Programme “Efficient Deep Learning”(EDL) P16-25. The-Anh Vu-Le was funded by Vingroup Joint Stock Company and supported by the Domestic Master/ PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), Vingroup Big Data Institute (VINBIGDATA), code VINIF.2020.ThS.JVN.01. The HCMUS team was funded by Gia Lam Urban Development and Investment Company Limited, Vingroup and supported by Vingroup Innovation Foundation (VINIF) under project code VINIF.2019.DA19. This work was also co-funded by the Austrian Science Fund FWF and the State of Styria, Austria within the project Crossmodal Search and Visual Exploration of 3D Cultural Heritage Objects (P31317-NBL).