Kavli Affiliate: Feng Wang
| First 5 Authors: Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang
| Summary:
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task,
which has drawn more and more attention in recent years. Existing approaches
address the problem in a restricted setting, without appropriately simulating
real application scenarios. To mimic the realistic setting, in this track, we
adopt large-scale sketches drawn by amateurs of different levels of drawing
skills, as well as a variety of 3D shapes including not only CAD models but
also models scanned from real objects. We define two SBSR tasks and construct
two benchmarks consisting of more than 46,000 CAD models, 1,700 realistic
models, and 145,000 sketches in total. Four teams participated in this track
and submitted 15 runs for the two tasks, evaluated by 7 commonly-adopted
metrics. We hope that, the benchmarks, the comparative results, and the
open-sourced evaluation code will foster future research in this direction
among the 3D object retrieval community.
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