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Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification

CVPR 2018 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Cross-domain few-shot with transformers · 702 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use TJ-AIDL instead of the strongest listed alternative, SSDALVIPeR · VIPeRRank-1: 38.5-37.9Helped
use TJ-AIDL instead of GLPRID · PRIDRank-1: 34.8-25.0Helped
use TJ-AIDL instead of CAMELMarket-1501 · Market-1501Rank-1: 58.2-54.5Helped
use TJ-AIDL instead of PULDukeMTMC-ReID · DukeMTMC-ReIDRank-1: 44.3-30.4Helped
replace independent or shared-feature fusion with IIA-based TJ-AIDLMarket-1501 → DukeMTMC-ReID · Market-1501 → DukeMTMC-ReIDRank-1: 33.8 -> 44.3; 37.9 -> 44.3Helped
replace independent or shared-feature fusion with IIA-based TJ-AIDLDukeMTMC-ReID → Market-1501 · DukeMTMC-ReID → Market-1501Rank-1: 54.9 -> 58.2; 53.4 -> 58.2Helped
add attribute supervision to identity-only learning (ablation)TJ-AIDL on Market-1501 → DukeMTMC-ReID · Market-1501 → DukeMTMC-ReIDRank-1: 30.6 -> 44.3Helped
add identity supervision to attribute-only learning (ablation)TJ-AIDL on Market-1501 → DukeMTMC-ReID · Market-1501 → DukeMTMC-ReIDRank-1: 24.3 -> 44.3Helped
add target-domain attribute-consistency adaptation (ablation)TJ-AIDL on Market-1501 → DukeMTMC-ReID · Market-1501 → DukeMTMC-ReIDRank-1: 39.6 -> 44.3Helped
add target-domain attribute-consistency adaptation (ablation)TJ-AIDL on DukeMTMC-ReID → Market-1501 · DukeMTMC-ReID → Market-1501Rank-1: 57.1 -> 58.2Helped

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