Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

Cloth-changing person re-identification (CC-ReID) aims to retrieve specific pedestrians in a
cloth-changing scenario. Its main challenge is to disentangle the clothing-related and …

Clothing change person re-identification (CC-ReID) aims to match images of the same
person wearing different clothes across diverse scenes. Leveraging biological features or …

Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering
from two limitations of inferior discriminative features and limited training samples. Existing …

In this work we study a novel problem which focuses on person identification while
performing daily activities. Learning biometric features from RGB videos is challenging due …

The core of video-based cloth-changing person re-identification is the extraction of cloth-
irrelevant features, such as body shape, face, and gait. Most current methods rely on …

Clothes-changing person re-identification (CC-ReID) aims to retrieve images of the same
person wearing different outfits. Mainstream researches focus on designing advanced …

Current clothes-changing person re-identification (re-id) approaches usually perform
retrieval based on clothes-irrelevant features, while neglecting the potential of clothes …

Thanks to the success of deep learning over the past few years, the video person re-
identification (ReID) algorithms have achieved high accuracy on multiple public benchmark …

Cloth-changing person re-identification is a subject closer to the real world, which focuses
on solving the problem of person re-identification after pedestrians change clothes. The …