Datasets › Flickr30K-Noisy
Flickr30K-Noisy (Flickr-30K with 20% of Noisy Correspondence)
This dataset, based on Flickr30K, is introduced in Learning with Noisy Correspondence for Cross-modal Matching. Noisy correspondence is simulated by randomly shuffling the captions of training images for a specific percentage, denoted by noise ratio
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 | ||||
|---|---|---|---|---|---|---|
| Cross-modal retrieval with noisy correspondence | Flickr30K-Noisy | ReCon R-Sum 511.8 | ReCon: Enhancing True Correspondence Discrimination... | qxzha/ReCon | 16 | Compare |
Papers archive 2025-07-28
16 shown of 16 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 16. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
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
- Flickr30K-Noisy
1 variant name, as the archive lists them.
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