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Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification
[article]
2021
arXiv
pre-print
Learning cross-view consistent feature representation is the key for accurate vehicle Re-identification (ReID), since the visual appearance of vehicles changes significantly under different viewpoints. To this end, most existing approaches resort to the supervised cross-view learning using extensive extra viewpoints annotations, which however, is difficult to deploy in real applications due to the expensive labelling cost and the continous viewpoint variation that makes it hard to define
arXiv:2103.05376v1
fatcat:5ui33m27szezrncuo4ga2jrfze