In this paper, we propose a comprehensive feature fusion mechanism (CFFM) for video-based Re-ID. We use multiple significance-aware attention to learn attention ...
In this paper, we propose a comprehensive feature fusion mechanism (CFFM) for video-based Re-ID. We use multiple significance-aware attention to learn attention ...
In this paper, we propose a comprehensive feature fusion mechanism (CFFM) for video-based Re-ID. We use multiple significance-aware attention to learn attention ...
We use multiple significance-aware attention to learn attention-based spatial–temporal feature fusion to better represent the person sequences. Specifically, ...
Bibliographic details on Comprehensive feature fusion mechanism for video-based person re-identification via significance-aware attention.
2020: Comprehensive feature fusion mechanism for video-based person re-identification via significance-aware attention ... person re-identification ...
It incorporates Shallow Feature Extraction (SFE) and Multi-scale Feature Fusion (MFF) techniques to extract diverse global feature information from pedestrians ...
Person re-identification (Re-ID) aims to recognize a person of interest from the gallery by using a query image or video clip. The state-of-the-art person Re-ID.
Deep video-based person re-identification (Deep Vid-ReID)
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May 15, 2024 · Video-based person re-identification system consists of two major components: feature learning and metric learning. Feature learning aims to ...
Dec 15, 2021 · Person re-identification (reID) uses computer vision to determine whether a particular pedestrian is present in an image or video sequence.
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