In this paper, we focus on improving person ReID performance through feature fusion. For this, first we formulate multi-shot person ReID as an information ...
Being inspired from this, in this paper, we introduce two schemes of late fusion for improving person Re-. ID performance: (1) a query-adaptive and product-rule ...
To show the robustness of the fusion schemes, we integrate them in a multi-shot person ReID framework where both handcrafted features and learning features are ...
Oct 11, 2021 · In this paper, we seek to mitigate the view bias by generating multi-view features (fusion of features from a fixed number of cameras).
Person re-identification by features fusion - ResearchGate
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How feature fusion can help to improve multi-shot person re-identification performance? Conference Paper. May 2020. Thuybinh Nguyen ...
Person re-identification with coarse-to-fine visual attention · How feature fusion can help to improve multi-shot person re-identification performance?
Aug 9, 2024 · In this paper, a new approach is introduced that enhances the capability of ReID models through the Uncertain Feature Fusion Method (UFFM) and ...
It effectively reduces the similarity bias of sample features and improves the recognition performance of birds and cars in the environment of few-shot.
May 2, 2024 · This demonstrates that a judicious combination of multiple distance metrics can enhance the effectiveness of Re-ID solutions. Report issue ...
In this paper, multi-level fusion temporal–spatial co-attention is adopted to improve person re-identification (reID).