Generalizable Person Re-identification
21 papers with code • 4 benchmarks • 9 datasets
Generalizable person re-identification refers to methods trained on a source dataset but directly evaluated on a target dataset without domain adaptation or transfer learning.
Benchmarks
These leaderboards are used to track progress in Generalizable Person Re-identification
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Market-1501
CUHK03
MSMT17
Market-1501-C
ClonedPerson
Most implemented papers
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
dcp15/isr_iccv2023_oral
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ICCV 2023
To overcome the barriers of data and annotation, we propose to utilize large-scale unsupervised data for training.
