ST-VQA (Scene Text Visual Question Answering)

Introduced by Ali Furkan Biten et al. in Scene Text Visual Question Answering archive 2025-07-28

ST-VQA aims to highlight the importance of exploiting high-level semantic information present in images as textual cues in the VQA process.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

No paper in the archive has a leaderboard row on this dataset; the archive counts 90 papers for it but never published that list.

No loader listed in the archive.

Unknown

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections