RT Journal Article
T1 Domain generalized person reidentification based on skewness regularity of higher-order statistics
A1 Xiong, Mingfu
A1 Xu, Yang
A1 Hu, Ruimin
A1 Wang, Zhongyuan
A1 Del Ser, Javier
A1 Muhammad, Khan
A1 Xiong, Zixiang
AB The goal of domain-generalized person reidentification (DG-ReID) is to train a model in the source domain and apply it directly to unknown target domains for specific pedestrian retrieval. Existing methods rely primarily on low-order statistics (such as the mean, standard deviation, or variance), thereby ensuring the stability of the source domain data distribution for model training. However, such methods underperform when the data follow a non-Gaussian distribution, thereby reducing the generalization ability of the model on unseen target domains. To address this issue, this study proposes an instance normalization-based skewness regularity (INSR) framework that uses high-order statistics (skewness and high-order moments) to measure the skewness and regularity of the data distribution. Such measures allow further learning of the morphological features (skewness degree, trait of data near the mean, etc.) of complex data distributions for DG-ReID. Specifically, the proposed framework first extracts the skewness and third-order moments from the source domains, which provide more features (high-order moments, variance, etc.) to characterize the data distribution. Subsequently, a batch normalization-like operation was implemented to project the data into a new feature space with zero mean and unit variance, enhancing model adaption and accuracy. Extensive experiments were conducted on small-scale (VIPeR, PRID, GRID, and i-LIDS) and large-scale (Market-1501, DukeMTMC-reID, CUHK03, MSMT17) public datasets using two different protocols, demonstrating that the proposed INSR framework significantly outperforms other state-of-the-art counterparts for DG-ReID.
SN 0950-7051
YR 2024
FD 2024-10-09
LK https://hdl.handle.net/11556/4826
UL https://hdl.handle.net/11556/4826
LA eng
NO Xiong , M , Xu , Y , Hu , R , Wang , Z , Del Ser , J , Muhammad , K & Xiong , Z 2024 , ' Domain generalized person reidentification based on skewness regularity of higher-order statistics ' , Knowledge-Based Systems , vol. 301 , 112206 . https://doi.org/10.1016/j.knosys.2024.112206
NO Publisher Copyright: © 2024 Elsevier B.V.
DS TECNALIA Publications
RD 28 sept 2024