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CLEVR-Ref+

Introduced by Runtao Liu et al. in CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions archive 2025-07-28

CLEVR-Ref+ is a synthetic diagnostic dataset for referring expression comprehension. The precise locations and attributes of the objects are readily available, and the referring expressions are automatically associated with functional programs. The synthetic nature allows control over dataset bias (through sampling strategy), and the modular programs enable intermediate reasoning ground truth without human annotators.

Source: CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Referring Expression Segmentation CLEVR-Ref+ IEP-Ref (700K prog.) IoU 80.6 CLEVR-Ref+: Diagnosing Visual Reasoning with Referring... ruotianluo/iep-ref +2 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 17. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions 3 1 3 Jan 2019 ran 4 of 5 samples (1 unverified; 5 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CLEVR-Ref+

1 variant name, as the archive lists them.

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