To improve the accuracy of person re-identification and reduce the size of models, a lightweight and accurate (LWA) unsupervised method is proposed.
In this paper, a lightweight and accurate (LWA) unsupervised person Re-identification algorithm is proposed. The lightweight classifier LWC can effectively ...
May 6, 2022 · Abstract:Supervised person re-identification methods rely heavily on high-quality cross-camera training label.
Missing: LWA: lightweight
Abstract. Unsupervised person re-identification has achieved great success through the self-improvement of individual neural networks.
Therefore, methods to identify a person by unsupervised learning without the need for per-camera-pair identity labeled training data have become a hot topic of ...
A lightweight feature-generation method is proposed for accurate person re-ID. The method requires only marginal computing resources for training and ...
Missing: LWA: | Show results with:LWA:
Sep 15, 2022 · Therefore, in this paper, we design an unsupervised person-re-identification framework called attention-guided fine-grained feature network and ...
Missing: LWA: | Show results with:LWA:
LWA: A lightweight and accurate method for unsupervised Person Re-identification. ICSAI 2019: 1314-1318. [c1]. view. electronic edition via DOI · unpaywalled ...
Yuzhu Liu's 3 research works with 47 reads, including: LWA: A lightweight and accurate method for unsupervised Person Re-identification.
ABSTRACT · Person re-identification (re-ID) is an important topic in computer vision. This paper studies the unsupervised setting of re-ID, which does not ...