The authors formulate CC-ReID as a trade-off between inter-person discrimination and intra-person clothing invariance.
Balancing within-person and between-person variation improves clothes-changing re-identification
MINER adaptively balances intra- and inter-person variance to achieve state-of-the-art results on multiple clothes-changing benchmarks
Big Tech
Oron Nir · Eliyahu Strugo · Ariel Shamir
Reichman University · Microsoft
Research Digest··2 min read
Researchers from Reichman University and Microsoft introduce MINER, a model-agnostic training framework that explicitly balances intra- and inter-person variance for Clothes-Changing Person Re-Identification (CC-ReID).
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