Spatial Relation Recognition
4 papers with code • 1 benchmarks • 4 datasets
Rel3D
SpatialSense Benchmark
ResQ
TexRel
Most implemented papers
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
One particular requirement for such robots is that they are able to understand spatial relations and can place objects in accordance with the spatial relations expressed by their user.
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
princeton-vl/Rel3D
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NeurIPS 2020
The 3D scenes in our dataset come in minimally contrastive pairs: two scenes in a pair are almost identical, but a spatial relation holds in one and fails in the other.
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
princeton-vl/SpatialSense
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ICCV 2019
Understanding the spatial relations between objects in images is a surprisingly challenging task.
A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Alab-NII/onecommon
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Findings of the Association for Computational Linguistics 2020
Recent models achieve promising results in visually grounded dialogues.
