@article{SIPIRAN20211,
  title = {SHREC 2021: Retrieval of cultural heritage objects},
  journal = {Computers & Graphics},
  volume = {100},
  pages = {1-20},
  year = {2021},
  issn = {0097-8493},
  doi = {https://doi.org/10.1016/j.cag.2021.07.010},
  url = {https://www.sciencedirect.com/science/article/pii/S0097849321001412},
  author = {Ivan Sipiran and Patrick Lazo and Cristian Lopez and Milagritos Jimenez and Nihar Bagewadi and Benjamin Bustos and Hieu Dao and Shankar Gangisetty and Martin Hanik and Ngoc-Phuong Ho-Thi and Mike Holenderski and Dmitri Jarnikov and Arniel Labrada and Stefan Lengauer and Roxane Licandro and Dinh-Huan Nguyen and Thang-Long Nguyen-Ho and Luis A. {Perez Rey} and Bang-Dang Pham and Minh-Khoi Pham and Reinhold Preiner and Tobias Schreck and Quoc-Huy Trinh and Loek Tonnaer and Christoph {von Tycowicz} and The-Anh Vu-Le},
  keywords = {Benchmarking, 3D model retrieval, Cultural heritage},
  abstract = {This paper presents the methods and results of the SHREC’21 track on a dataset of cultural heritage (CH) objects. We present a dataset of 938 scanned models that have varied geometry and artistic styles. For the competition, we propose two challenges: the retrieval-by-shape challenge and the retrieval-by-culture challenge. The former aims at evaluating the ability of retrieval methods to discriminate cultural heritage objects by overall shape. The latter focuses on assessing the effectiveness of retrieving objects from the same culture. Both challenges constitute a suitable scenario to evaluate modern shape retrieval methods in a CH domain. Ten groups participated in the challenges: thirty runs were submitted for the retrieval-by-shape task, and twenty-six runs were submitted for the retrieval-by-culture task. The results show a predominance of learning methods on image-based multi-view representations to characterize 3D objects. Nevertheless, the problem presented in our challenges is far from being solved. We also identify the potential paths for further improvements and give insights into the future directions of research.}
}