Browse State-of-the-Art › Text-based Person Retrieval with Noisy Correspondence
Text-based Person Retrieval with Noisy Correspondence
6 papers with code · 3 benchmarks · 3 datasets archive 2025-07-28
This is a benchmark about text-based person retrieval with noisy correspondence. All recorded values are the results under 20% noise rate.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CUHK-PEDES (6 rows) | RDE | Noisy-Correspondence Learning for Text-to-Image Person Re-identification | code | Syntology ran 12 of 14 samples · 2 unverified | Compare |
| ICFG-PEDES (6 rows) | RDE | Noisy-Correspondence Learning for Text-to-Image Person Re-identification | code | Syntology ran 12 of 14 samples · 2 unverified | Compare |
| RSTPReid (6 rows) | RDE | Noisy-Correspondence Learning for Text-to-Image Person Re-identification | code | Syntology ran 12 of 14 samples · 2 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Feb 2021 82 repositories listed Syntology ran 16 of 20 samples · 4 unverified · 16 pointer-only (licence)State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories.
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19 Aug 2023 1 repository listed Syntology ran 12 of 14 samples · 2 unverified · 14 pointer-only (licence)Text-to-image person re-identification (TIReID) is a compelling topic in the cross-modal community, which aims to retrieve the target person based on a textual query.
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22 Mar 2023 1 repository listed Syntology ran 5 of 9 samples · 4 unverifiedTo alleviate these issues, we present IRRA: a cross-modal Implicit Relation Reasoning and Aligning framework that learns relations between local visual-textual tokens and enhances global image-text matching without…
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10 Oct 2022 1 repository listedHowever, it will unavoidably introduce noise (i.
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18 Aug 2022 1 repository listedTo explore the fine-grained alignment, we further propose two implicit semantic alignment paradigms: multi-level alignment (MLA) and bidirectional mask modeling (BMM).
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27 Jul 2021 1 repository listedThird, we introduce a Compound Ranking (CR) loss that makes use of textual descriptions for other images of the same identity to provide extra supervision, thereby effectively reducing the intra-class variance in…
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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