Sep 5, 2022 · We introduce a multi-scale global feature module to extract more comprehensive and refine global features by using multiple convolution kernels ...

Jan 1, 2022 · A new model is proposed to use global features more rationally and extract more fine-grained part features.

Person re-identification (ReID) is a crucial task in identifying pedestrians of interest across multiple surveillance camera views.

Person re-identification (ReID) is a crucial task in identifying pedestrians of interest across multiple surveillance camera views.

Sep 27, 2021 · An Omni-Scale Feature Aggregation method (OSFA) is proposed to learn discriminative pedestrian features based on the global and local ...

Sep 4, 2023 · In this paper, a multi-scale feature fusion network model combining global and local features is proposed. The network is built with four ...

Oct 12, 2020 · Representing features at multiple scales is significant for person re-identification (Re-ID). Most existing methods learn the multi-scale ...

To address the challenges of person re-ID in complex scenes, we employ a “scene decomposition” strategy and introduce the Multi-Branch Feature Fusion Network ( ...

... Person re-identification based on multi-scale global feature and weight-driven part feature. AI Communications. 1–17 (2022) https://doi.org/10.3233/AIC ...

Abstract. Person re-identification is a technology that uses computer vision to match and retrieve the same target person across cameras, which has a wide ...