Zobrazeno 1 - 10
of 20 068
pro vyhledávání: '"Ré-identification"'
The development of deep learning has facilitated the application of person re-identification (ReID) technology in intelligent security. Visible-infrared person re-identification (VI-ReID) aims to match pedestrians across infrared and visible modality
Externí odkaz:
http://arxiv.org/abs/2412.19111
Group Re-identification (G-ReID) faces greater complexity than individual Re-identification (ReID) due to challenges like mutual occlusion, dynamic member interactions, and evolving group structures. Prior graph-based approaches have aimed to capture
Externí odkaz:
http://arxiv.org/abs/2412.18766
Current visible-infrared cross-modality person re-identification research has only focused on exploring the bi-modality mutual retrieval paradigm, and we propose a new and more practical mix-modality retrieval paradigm. Existing Visible-Infrared pers
Externí odkaz:
http://arxiv.org/abs/2412.04719
Animal re-identification (ReID) has become an indispensable tool in ecological research, playing a critical role in tracking population dynamics, analyzing behavioral patterns, and assessing ecological impacts, all of which are vital for informed con
Externí odkaz:
http://arxiv.org/abs/2412.00818
The increasing capabilities of deep neural networks for re-identification, combined with the rise in public surveillance in recent years, pose a substantial threat to individual privacy. Event cameras were initially considered as a promising solution
Externí odkaz:
http://arxiv.org/abs/2411.16440
This paper makes a step towards modeling the modality discrepancy in the cross-spectral re-identification task. Based on the Lambertain model, we observe that the non-linear modality discrepancy mainly comes from diverse linear transformations acting
Externí odkaz:
http://arxiv.org/abs/2411.01225
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims to learn modality-invariant features from unlabeled cross-modality datasets and reduce the inter-modality gap. However, the existing methods lack cross-modality cluste
Externí odkaz:
http://arxiv.org/abs/2412.19134
Autor:
Moghaddam, Alireza Sedighi, Anvari, Fatemeh, Haghighi, Mohammadjavad Mirshekari, Fakhari, Mohammadali, Mohammadi, Mohammad Reza
Person re-identification (ReID) models often struggle to generalize across diverse cultural contexts, particularly in Islamic regions like Iran, where modest clothing styles are prevalent. Existing datasets predominantly feature Western and East Asia
Externí odkaz:
http://arxiv.org/abs/2412.18874
Person Re-identification (ReID) aims to retrieve the specific person across non-overlapping cameras, which greatly helps intelligent transportation systems. As we all know, Convolutional Neural Networks (CNNs) and Transformers have the unique strengt
Externí odkaz:
http://arxiv.org/abs/2412.17239
Unsupervised visible-infrared person re-identification (USL-VI-ReID) is of great research and practical significance yet remains challenging due to the absence of annotations. Existing approaches aim to learn modality-invariant representations in an
Externí odkaz:
http://arxiv.org/abs/2412.12220