Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id).  By fusing identification results of MiF-CNN and attribute recognition, this paper introduces the attribute-aided reranking algorithm to improve the accuracy of person re-id further.  Experiments on VIPeR, CUHK01, and Market1501 datasets verify the proposed MiF-CNN can be trained sufficiently with small-scale datasets and obtain outstanding accuracy of person re-id. 
MiF-CNN
Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id).  By fusing identification results of MiF-CNN and attribute recognition, this paper introduces the attribute-aided reranking algorithm to improve the accuracy of person re-id further.  Experiments on VIPeR, CUHK01, and Market1501 datasets verify the proposed MiF-CNN can be trained sufficiently with small-scale datasets and obtain outstanding accuracy of person re-id. 
MiF-CNN
Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id).  By fusing identification results of MiF-CNN and attribute recognition, this paper introduces the attribute-aided reranking algorithm to improve the accuracy of person re-id further.  Experiments on VIPeR, CUHK01, and Market1501 datasets verify the proposed MiF-CNN can be trained sufficiently with small-scale datasets and obtain outstanding accuracy of person re-id. 
MiF-CNN
Inspired by an image caption, a person attribute recognition network is proposed based on long-short-term memory network and attention mechanism. 
long-short-term memory network
Inspired by an image caption, a person attribute recognition network is proposed based on long-short-term memory network and attention mechanism. 
attention mechanism