# 3D Visual Question Answering on SQA (val) Source: [3D Visual Question Answering on SQA (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:41:43.744Z Evaluation of model performance on the validation split of the SQA dataset for 3D Visual Question Answering, typically measured using Exact Match (EM) metrics. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | 3D Visual Question Answering | | Dataset (including any stated split) | SQA (val) | | Metric | EM@1 | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [EM@1](): Higher is better; unit: PERCENT. ## Recorded results | Method | EM@1 | Result date | Report paper | | --- | --- | --- | --- | | BridgeQA | 52.05 | Not recorded | 68fa725b1e209131cea55e6a | ### BridgeQA EM@1: 52.05. Result ID: 6992334c3a6c3148490d4371. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.