In the evolving landscape of surveillance and security applications, the task of person re-
identification (re-ID) has significant importance, but also presents notable difficulties. This …

This paper explores a simple and efficient baseline for person re-identification (ReID).
Person re-identification (ReID) with deep neural networks has made progress and achieved …

This study proposes a simple but strong baseline for deep person re-identification (ReID).
Deep person ReID has achieved great progress and high performance in recent years …

Person re-identification (ReID) is a challenging problem, where global features of person
images are not enough to solve unaligned image pairs. Many previous works used human …

In recent years, the research community has approached the problem of vehicle re-
identification (re-id) with attention-based models, specifically focusing on regions of a …

As an important branch of affective computing, Speech Emotion Recognition (SER) plays a
vital role in human–computer interaction. In order to mine the relevance of signals in audios …

Domain adaptation person re-identification (Re-ID) is a challenging task, which aims to
transfer the knowledge learned from the labeled source domain to the unlabeled target …

Person Search is a practically relevant task that aims to jointly solve Person Detection and
Person Re-identification (re-ID). Specifically, it requires to find and locate all instances with …

Vehicle Re-Identification (ReID) aims to find images of the same vehicle from different
videos. It remains a challenging task in the video analysis field due to the huge appearance …