This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset. It is a continuation of the SHREC 2016 large-scale ...
In this track, we evaluate the performance of cutting edge deep-learning based 3D shape retrieval methods on. ShapeNet Core55, which is a subset of the ShapeNet ...
This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet dataset. We use ShapeNet Core55, which provides more than ...
This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset. It is a continuation of the SHREC 2016 large-scale ...
This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset. It is a continuation of the SHREC 2016 large-scale ...
The ShapeNet Core55 competition dataset contains a total of 51162. 3D models categorized into 55 WordNet [Mil95] synsets (lexical categories belonging to a ...
Oct 17, 2017 · Abstract:We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
Missing: Retrieval | Show results with:Retrieval
This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet dataset. We use ShapeNet Core55, which provides more than ...
This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet dataset and uses ShapeNet Core55, which provides more ...
This track provides a benchmark to evaluate large-scale 3D shape retrieval based on the ShapeNet dataset.
People also ask
What is shape retrieval?
What is ShapeNet?