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Papers Benchmarks Datasets Tasks

3D Question Answering research benchmarks – Page 2 · SOTA2 Research

3D Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

City-3DQA Sentence-wise

82.41Accuracy (Single-hop)

5

Mar 25, 2026

ScanQA Leaderboard as of Nov 2023 (test)

30.82EM

5

Feb 26, 2026

MSQA Vision-only

23.6Count Accuracy

4

Apr 13, 2026

52Exact Match @ 1

2

Feb 26, 2026

39.3Accuracy

1

Feb 26, 2026

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Popular datasets

ScanQA SQA3D MSQA Beacon3D City-3DQA

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