… success in person re-identification by learning powerful person representations [16, 17].
Deep learning based methods typically work on extracting a global feature of a person image [33…

… Person Re-Identification Person re-identification has gained increasing attention from both
… Then we refer to these similarity values and use an attention mechanism to adaptively …

… a global feature of a person image itself, gives robust … persons having similar attributes in
corresponding parts. To address this issue, we propose a new relation network for person reID …

… Yet in this paper, we concentrate on a high quality pedestrian descriptor through better …
(For interpretation of the references to color in this figure legend, the reader is referred to the …

… The two gaps hinder the further development of person re-identification. To address this …
It uses a cloth-template as a reference to retrieve the target person. This setting reduces the …

… Wu, “Efficient online local metric adaptation via negative samples for person re-identification,…
Miao, “Multiple metric learning based on bar-shape descriptor for person reidentification,” …

… in videobased person reID, we intend to address this by proposing a multi-granularity
reference-aided global attention, … In the subsequent description, we use MG-RAFA to refer to MG- …

… value, which represents a unique appearance descriptor. Fusion of these features further …
features extracted by PFB modules are global person descriptors, which we also call body …

… due to the occlusion when projecting 3D person to 2D person image), we propose a Semantics
Aligning Network (SAN) for robust person reID, in which densely semantically aligned full …

… between reference features and frame-level feature maps. Part-based Person Re-identification.
In … p is similar tofm p , and we omit the description of this part for convenience. Finally, we …