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Transreid: Transformer-based object re-identification
Extracting robust feature representation is one of the key challenges in object re-
identification (ReID). Although convolution neural network (CNN)-based methods have …
identification (ReID). Although convolution neural network (CNN)-based methods have …
Modality unifying network for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-
modality discrepancies and intra-class variations. Existing methods mainly focus on learning …
modality discrepancies and intra-class variations. Existing methods mainly focus on learning …
Combined depth space based architecture search for person re-identification
Most works on person re-identification (ReID) take advantage of large backbone networks
such as ResNet, which are designed for image classification instead of ReID, for feature …
such as ResNet, which are designed for image classification instead of ReID, for feature …
Rethinking the distribution gap of person re-identification with camera-based batch normalization
The fundamental difficulty in person re-identification (ReID) lies in learning the
correspondence among individual cameras. It strongly demands costly inter-camera …
correspondence among individual cameras. It strongly demands costly inter-camera …
Dc-former: Diverse and compact transformer for person re-identification
In person re-identification (ReID) task, it is still challenging to learn discriminative
representation by deep learning, due to limited data. Generally speaking, the model will get …
representation by deep learning, due to limited data. Generally speaking, the model will get …
Person re-identification using heterogeneous local graph attention networks
Recently, some methods have focused on learning local relation among parts of pedestrian
images for person re-identification (Re-ID), as it offers powerful representation capabilities …
images for person re-identification (Re-ID), as it offers powerful representation capabilities …
Contrastive clothing and pose generation for cloth-changing person re-identification
Abstract Cloth-Changing Person Re-Identification (CCRe-ID) aims at matching an individual
across cameras after a long period of time presenting variations in clothing compounded …
across cameras after a long period of time presenting variations in clothing compounded …
Large-scale spatio-temporal person re-identification: Algorithms and benchmark
Person re-identification (re-ID) in the scenario with large spatial and temporal spans has not
been fully explored. This fact partially occurs because existing benchmark datasets were …
been fully explored. This fact partially occurs because existing benchmark datasets were …
Cross-modality transformer with modality mining for visible-infrared person re-identification
The visible-infrared person re-identification (VI-ReID) is a challenging ReID task, which aims
to retrieve and match the same identity's images between the heterogeneous visible and …
to retrieve and match the same identity's images between the heterogeneous visible and …