Point to set similarity based deep feature learning for person re-identification
Person re-identification (Re-ID) remains a challenging problem due to significant
appearance changes caused by variations in view angle, background clutter, illumination …
appearance changes caused by variations in view angle, background clutter, illumination …
Global distance-distributions separation for unsupervised person re-identification
Supervised person re-identification (ReID) often has poor scalability and usability in real-
world deployments due to domain gaps and the lack of annotations for the target domain …
world deployments due to domain gaps and the lack of annotations for the target domain …
Discriminative feature learning with foreground attention for person re-identification
The performance of person re-identification (Re-ID) has been seriously affected by the large
cross-view appearance variations caused by mutual occlusions and background clutter …
cross-view appearance variations caused by mutual occlusions and background clutter …