Datasets › MemexQA
MemexQA
A large, realistic multimodal dataset consisting of real personal photos and crowd-sourced questions/answers.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Memex Question Answering | MemexQA | FVTA Accuracy 0.357 | Focal Visual-Text Attention for Visual Question Answering | JunweiLiang/FVTA_memoryqa +1 | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers 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 5. The Syntology column is from Syntology's graph (read 2026-09-25), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Focal Visual-Text Attention for Memex Question Answering | 1 | 1 | 14 Dec 2018 | not harvested |
| Focal Visual-Text Attention for Visual Question Answering | 2 | 1 | 5 Jun 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MemexQA
1 variant name, as the archive lists them.
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