Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

Person re-identification (re-ID) models trained on one domain often fail to generalize well to another. In our attempt, we present a "learning via translation" framework... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Person Re-Identification DukeMTMC-reID SPGAN+LMP* Rank-1 46.4 # 53
MAP 26.2 # 58
Unsupervised Person Re-Identification DukeMTMC-reID SPGAN+LMP Rank-1 46.4 # 3
Rank-10 68.0 # 3
Rank-5 62.3 # 3
MAP 26.2 # 3
Unsupervised Domain Adaptation Duke to Market SPGAN mAP 22.8 # 20
rank-1 51.5 # 20
rank-5 70.1 # 13
rank-10 76.8 # 15
Unsupervised Person Re-Identification Market-1501 SPGAN+LMP Rank-1 57.7 # 4
MAP 26.7 # 3
Rank-10 82.4 # 3
Rank-5 75.8 # 3
Unsupervised Domain Adaptation Market to Duke SPGAN mAP 22.3 # 19
rank-1 41.1 # 17
rank-5 56.6 # 14
rank-10 63.0 # 13
Unsupervised Person Re-Identification MSMT17->DukeMTMC-reID SPGAN Rank-1 46.4 # 2
Rank-10 68.0 # 2
Rank-5 62.3 # 2
mAP 26.2 # 2

Methods used in the Paper