Self-Supervised Person Re-Identification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

2 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (4 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.

• A Simple Framework for Contrastive Learning of Visual Representations
  13 Feb 2020 96 repositories listed Syntology ran 79 of 137 samples · 58 unverified · 52 pointer-only (licence)
  This paper presents SimCLR: a simple framework for contrastive learning of visual representations.
• Improved Baselines with Momentum Contrastive Learning
  9 Mar 2020 36 repositories listed Syntology ran 8 of 43 samples · 35 unverified · 10 pointer-only (licence)
  Contrastive unsupervised learning has recently shown encouraging progress, e.
• Bootstrap your own latent: A new approach to self-supervised Learning
  13 Jun 2020 31 repositories listed Syntology ran 62 of 79 samples · 17 unverified · 46 pointer-only (licence)
  From an augmented view of an image, we train the online network to predict the target network representation of the same image under a different augmented view.
• Solving Inefficiency of Self-supervised Representation Learning
  18 Apr 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  In this paper, we reveal two contradictory phenomena in contrastive learning that we call under-clustering and over-clustering problems, which are major obstacles to learning efficiency.

Syntology lines on 4 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.