Unsupervised Domain-Adaptive Person Re-identification Based on Attributes

08/27/2019
by   Xiangping Zhu, et al.
6

Pedestrian attributes, e.g., hair length, clothes type and color, locally describe the semantic appearance of a person. Training person re-identification (ReID) algorithms under the supervision of such attributes have proven to be effective in extracting local features which are important for ReID. Unlike person identity, attributes are consistent across different domains (or datasets). However, most of ReID datasets lack attribute annotations. On the other hand, there are several datasets labeled with sufficient attributes for the case of pedestrian attribute recognition. Exploiting such data for ReID purpose can be a way to alleviate the shortage of attribute annotations in ReID case. In this work, an unsupervised domain adaptive ReID feature learning framework is proposed to make full use of attribute annotations. We propose to transfer attribute-related features from their original domain to the ReID one: to this end, we introduce an adversarial discriminative domain adaptation method in order to learn domain invariant features for encoding semantic attributes. Experiments on three large-scale datasets validate the effectiveness of the proposed ReID framework.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/19/2018

CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification

Person re-identification aims to identify the same pedestrian across non...
research
11/24/2020

DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations

Existing person re-identification methods often have low generalization ...
research
11/20/2018

Sequence-based Person Attribute Recognition with Joint CTC-Attention Model

Attribute recognition has become crucial because of its wide application...
research
06/12/2017

Transferring a Semantic Representation for Person Re-Identification and Search

Learning semantic attributes for person re-identification and descriptio...
research
09/06/2022

UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval

Recognizing soft-biometric pedestrian attributes is essential in video s...
research
02/27/2019

Attributes-aided Part Detection and Refinement for Person Re-identification

Person attributes are often exploited as mid-level human semantic inform...
research
02/07/2021

AttributeNet: Attribute Enhanced Vehicle Re-Identification

Vehicle Re-Identification (V-ReID) is a critical task that associates th...

Please sign up or login with your details

Forgot password? Click here to reset