Pose-Normalized Image Generation for Person Re-identification

ECCV 2018 Xuelin QianYanwei FuTao XiangWenxuan WangJie QiuYang WuYu-Gang JiangXiangyang Xue

Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired training data and learning discriminative identity-sensitive and view-invariant features in the presence of large pose variations. In this work, we address both problems by proposing a novel deep person image generation model for synthesizing realistic person images conditional on the pose... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Person Re-Identification Market-1501->DukeMTMC-reID PN-GAN [qian2018pose] mAP 15.8 # 2
Rank-1 29.9 # 2

Methods used in the Paper


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