We propose a novel Bi-stream Generative Model (BGM) to solve both the CC problem and the CP problem in re-ID. The proposed BGM consists of a mainstream feature ...

Jun 19, 2022 · To solve the above issues, we propose a Bi-stream Generative Model (BGM) to learn the fine-grained representations fused with camera-invariant ...

We propose a bi-stream generative model for solving the CC and CP problems separately, with promising results. •. We design a part-weighted loss based on the ...

A Bi-stream Generative Model (BGM) to learn the fine-grained representations fused with camera-invariant global feature and pedestrian-aligned local feature ...

Dec 1, 2022 · We propose a bi-stream generative model for solving the CC and CP problems separately, with promising results. •. We design a part-weighted loss ...

Towards Generalizable Person Re-identification with a Bi-stream Generative Model ... Guided by original pedestrian images, one stream is employed to learn a ...

Aug 2, 2022 · Generalizable person re-identification (re-ID) has attracted growing attention due to its powerful adaptation capability in the unseen data ...

Towards generalizable person re-identification with a bi-stream generative model ; Journal: Pattern Recognition, 2022, p. 108954 ; Publisher: Elsevier BV ; Authors ...

Towards Generalizable Person Re-identification with a Bi-stream Generative Model ... Guided by original pedestrian images, one stream is employed to learn a ...

The aim of this paper is to design a generalizable person ReID framework which trains a model on source domains yet is able to generalize/perform well on ...