Human-centric perceptions include a variety of vision tasks, which have widespread
industrial applications, including surveillance, autonomous driving, and the metaverse. It is …

Domain generalization (DG) for person re-identification (ReID) is a challenging problem, as
access to target domain data is not permitted during the training process. Most existing DG …

Recent years person re-identification (ReID) has been developed rapidly due to its broad
practical applications. Most existing benchmarks assume that the same person wears the …

Domain generalization (DG), which doesn't require any data from target domains during
training, is more challenging but practical than unsupervised domain adaptation (UDA) …

Domain generalization person re-identification (DG-ReID) has gained much attention
recently due to the poor performance of supervised re-identification on unseen domains …

Face recognition systems are frequently subjected to a variety of physical and digital attacks
of different types. Previous methods have achieved satisfactory performance in scenarios …

Existing person re-identification (re-id) methods are stuck when deployed to a new unseen
scenario despite the success in cross-camera person matching. Recent efforts have been …

Although considerable research progress has been made in the field of face anti-spoofing
(FAS) it still faces continuous threats from ultra-realistic face mask attacks. Facing the …

Person re-identification (ReID) has made good progress in stationary domains. The ReID
model must be retrained to adapt to new scenarios (domains) as they emerge unexpectedly …

Abstract Supervised Person Re-identification (Person ReID) methods have achieved
excellent performance when training and testing within one camera network. However, they …