Spatial Relation Recognition

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (5 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
  3 Dec 2020 2 repositories listed
  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.
• Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
  23 Jan 2020 2 repositories listed
  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.
• A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
  7 Oct 2020 1 repository listed
  Recent models achieve promising results in visually grounded dialogues.
• SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
  7 Aug 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Understanding the spatial relations between objects in images is a surprisingly challenging task.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.