Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets

Cross Domain Person Re-Identification With Large Scale Attribute Annotated Datasets

We propose a novel deep convolutional neural network framework called deep augmented attribute network (DAAN) to learn augmented attribute features for cross-domain person re-identification (person Re-ID) task. We observed that in some cases, different persons could have similar attributes (e.g., we...

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Bibliographic Details
Main Authors: Bolei Xu, Jingxin Liu, Xianxu Hou, Ke Sun, Guoping Qiu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
cross domain
person re-identification
Online Access:https://ieeexplore.ieee.org/document/8630965/

Internet

https://ieeexplore.ieee.org/document/8630965/

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