|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
Ranked #27 on Person Re-Identification on DukeMTMC-reID
In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.
Ranked #5 on Text based Person Retrieval on CUHK-PEDES
Person re-identification (re-ID) poses unique challenges for unsupervised domain adaptation (UDA) in that classes in the source and target sets (domains) are entirely different and that image variations are largely caused by cameras.
Ranked #16 on Unsupervised Domain Adaptation on Duke to Market