Interaction-and-Aggregation Network for Person Re-identification

CVPR 2019 Ruibing HouBingpeng MaHong ChangXinqian GuShiguang ShanXilin Chen

Person re-identification (reID) benefits greatly from deep convolutional neural networks (CNNs) which learn robust feature embeddings. However, CNNs are inherently limited in modeling the large variations in person pose and scale due to their fixed geometric structures... (read more)

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