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VCR-wiki

Introduced by Tianyu Zhang et al. in VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text10 Jun 2024 archive 2025-07-28

This task stems from the observation that text embedded in images is intrinsically different from common visual elements and natural language due to the need to align the modalities of vision, text, and text embedded in images.

Solving OCR usually does not depend on the context, while VQA usually does not have a unique solution to evaluate the quality of answers. VCR bridges the gap between OCR and VQA: it reconstructs the unique text in images while considering the context of the rest image.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC-BY-SA

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • VCR-wiki

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