Li, BinBinLiSchreck, TobiasTobiasSchreckGodil, AfzalAfzalGodilAlexa, MarcMarcAlexaBoubekeur, T.T.BoubekeurBustos, BenjaminBenjaminBustosChen, J.J.ChenEitz, M.M.EitzFuruya, T.T.FuruyaHildebrand, K.K.HildebrandHuang, S.S.HuangJohan, H.H.JohanKuijper, ArjanArjanKuijperOhbuchi, R.R.OhbuchiRichter, R.R.RichterSaavedra, J.M.J.M.SaavedraScherer, MaximilianMaximilianSchererYanagimachi, T.T.YanagimachiYoon, G.J.G.J.YoonYoon, Sang MinSang MinYoon2022-03-112022-03-112012https://publica.fraunhofer.de/handle/publica/37653310.2312/3DOR/3DOR12/109-118Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods implemented by different participants over the world. The track is based on a new sketch-based 3D shape benchmark, which contains two types of sketch queries and two versions of target 3D models. In this track, 7 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used retrieval performance metrics. We hope that the benchmark, its corresponding evaluation code, and the comparative evaluation results of the state-of-the-art sketch-based 3D model retrieval algorithms will contribute to the progress of this research direction for the 3D model retrieval community.enshape semanticshape matchingsketch based image retrievalsketch based query006conference paper