Browse State-of-the-Art › Vehicle Re-Identification

Vehicle Re-Identification

59 papers with code · 12 benchmarks · 9 datasets archive 2025-07-28

Computer Vision

Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.

( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

12 leaderboard tables shown for this task, 12 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. 10 shown of 12 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
VeRi-776 (17 rows) MBR4B-LAI (w/ RK) Strength in Diversity: Multi-Branch Representation Learning for... code — Compare
VehicleID Small (13 rows) Recall@k Surrogate loss (ViT-B/16) Recall@k Surrogate Loss with Large Batches and Similarity Mixup code Syntology ran 0 of 11 samples · 11 unverified Compare
VehicleID Large (10 rows) Recall@k Surrogate loss (ViT-B/16) Recall@k Surrogate Loss with Large Batches and Similarity Mixup code Syntology ran 0 of 11 samples · 11 unverified Compare
VehicleID Medium (9 rows) Recall@k Surrogate loss (ViT-B/16) Recall@k Surrogate Loss with Large Batches and Similarity Mixup code Syntology ran 0 of 11 samples · 11 unverified Compare
VRAI test-dev (6 rows) Baseline Model — — — Compare
VeRi-Wild Small (3 rows) MBR-4B (without RK) Strength in Diversity: Multi-Branch Representation Learning for... code — Compare
VRAI test (3 rows) Baseline Model — — — Compare
VeRi (2 rows) vehiclenet VehicleNet: Learning Robust Feature Representation for Vehicle... code — Compare
VeRi-Wild Large (2 rows) ANet AttributeNet: Attribute Enhanced Vehicle Re-Identification — — Compare
CityFlow (1 row) A Strong Baseline A Strong Baseline for Vehicle Re-Identification code — Compare
VehicleID (1 row) VehicleNet VehicleNet: Learning Robust Visual Representation for Vehicle... code — Compare
VeRi-Wild Medium (1 row) ANet AttributeNet: Attribute Enhanced Vehicle Re-Identification — — 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

9 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

30 shown of 59 papers with code (150 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.

Syntology lines on 5 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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