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In this paper, we deeply investigate the inner relation between attribute features and the spatial semantic relation between key-point region features of the ...
This technology has been widely used in medical rescue, criminal investigation and other fields. In recent years, many person Re-ID methods have been ...
Sarfraz, M. S., Schumann, A., Eberle, A., & Stiefelhagen, R. (2018). A pose-sensitive embedding for person re-identification with expanded cross neighborhood re ...
Discriminative feature mining with relation regularization for person re-identification. Abstract: The appearance attribute and pose are two important and ...
Feb 6, 2023 · ... person image and propose a person re-identification method based on discriminative feature mining with relation regularization. Firstly, an att.
We argue that on the one hand, the rational utilization of multi-scale features should be dynamically adjusted along the shallow and deep layers of the network.
Oct 12, 2020 · To handle this challenge, a novel method is proposed to learn the discriminative spatial features. Firstly, a self-constrained spatial ...
In this paper, we propose a simple yet effective feedforward attention network to address the two mentioned problems, in which a novel consistent attention ...
Missing: mining | Show results with:mining
Mar 21, 2024 · Conclusion. In this paper, we proposed a novel learning Discriminative Multi-scale Adjacent Feature (MSAF) model for person Re-ID to ...
The first group mainly enhances the robustness against misalignment/imperfect detection, and the second improves the feature learning by mining the relations ...