Zobrazeno 1 - 10
of 31 704
pro vyhledávání: '"Person RE"'
Due to some complex factors (e.g., occlusion, pose variation and diverse camera perspectives), extracting stronger feature representation in person re-identification remains a challenging task. In this paper, we proposed a novel self-supervision and
Externí odkaz:
http://arxiv.org/abs/2410.15613
Cloth-changing person re-identification (CC-ReID), also known as Long-Term Person Re-Identification (LT-ReID) is a critical and challenging research topic in computer vision that has recently garnered significant attention. However, due to the high c
Externí odkaz:
http://arxiv.org/abs/2410.13567
Recent advancements in pre-trained vision-language models like CLIP have shown promise in person re-identification (ReID) applications. However, their performance in generalizable person re-identification tasks remains suboptimal. The large-scale and
Externí odkaz:
http://arxiv.org/abs/2410.11255
Person re-identification (ReID) has recently benefited from large pretrained vision-language models such as Contrastive Language-Image Pre-Training (CLIP). However, the absence of concrete descriptions necessitates the use of implicit text embeddings
Externí odkaz:
http://arxiv.org/abs/2410.09382
Supervised Person Re-identification (Person ReID) methods have achieved excellent performance when training and testing within one camera network. However, they usually suffer from considerable performance degradation when applied to different camera
Externí odkaz:
http://arxiv.org/abs/2410.08456
This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the performance and explainability of the person re-ID task. We propose a meth
Externí odkaz:
http://arxiv.org/abs/2410.00348
This paper addresses the challenge of animal re-identification, an emerging field that shares similarities with person re-identification but presents unique complexities due to the diverse species, environments and poses. To facilitate research in th
Externí odkaz:
http://arxiv.org/abs/2410.00204
Contrastive Language-Image Pre-Training (CLIP) model excels in traditional person re-identification (ReID) tasks due to its inherent advantage in generating textual descriptions for pedestrian images. However, applying CLIP directly to intra-camera s
Externí odkaz:
http://arxiv.org/abs/2409.19563
Autor:
Zuo, Jialong, Nie, Ying, Zhou, Hanyu, Zhang, Huaxin, Wang, Haoyu, Guo, Tianyu, Sang, Nong, Gao, Changxin
Recent researches have proven that pre-training on large-scale person images extracted from internet videos is an effective way in learning better representations for person re-identification. However, these researches are mostly confined to pre-trai
Externí odkaz:
http://arxiv.org/abs/2409.18569
Person Re-Identification (Re-ID) has gained popularity in computer vision, enabling cross-camera pedestrian recognition. Although the development of deep learning has provided a robust technical foundation for person Re-ID research, most existing per
Externí odkaz:
http://arxiv.org/abs/2409.09391