Oct 22, 2020 · In this paper, we propose a deep learning model with multi visual-semantic information embedding, containing body parts and edge contour.
The local features of different body parts have been widely used to learn more discriminative representation for person re-identification, ...
Oct 22, 2020 · The local features of different body parts have been widely used to learn more discriminative representation for person re-identification, ...
A deep person re-identification model with multi visual-semantic information embedding ... Authors: Xiaopei Wang; Xiaoxia Liu; Jun Guo; Jiaxiang Zheng; Pengfei Xu ...
Apr 19, 2023 · In this paper, we aim to learn a domain generalizable Re-ID model on the basis of visual-semantic feature, even in a scenario with incomplete ...
Feb 22, 2019 · Person re-identification (ReID) is to solve the problem that is how to find the image owning the same identity label as the given anchor image ...
Bibliographic details on A deep person re-identification model with multi visual-semantic information embedding.
Jul 13, 2022 · In this paper, we propose a novel Person Re-identification model that combines physical biometric information and traditional appearance features.
A new appearance model combining information from multiple images to obtain highly discriminative human signature, called Mean Riemannian Covariance Grid ...
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What is visual semantic embedding?
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In particular, the MS-TriCNN combines multi-scale features by a hard embedding layer and learns a multi-branches CNN model by backpropa- gating the triplet ...