Zobrazeno 1 - 10
of 122 409
pro vyhledávání: '"Reid, P."'
Vision Transformers (ViTs) have shown exceptional performance in vehicle re-identification (ReID) tasks. However, non-square aspect ratios of image or video inputs can negatively impact re-identification accuracy. To address this challenge, we propos
Externí odkaz:
http://arxiv.org/abs/2411.06297
Person re-identification(ReID), as a crucial technology in the field of security, plays a vital role in safety inspections, personnel counting, and more. Most current ReID approaches primarily extract features from images, which are easily affected b
Externí odkaz:
http://arxiv.org/abs/2410.09875
Autor:
Bayar, Emirhan, Aker, Cemal
Extracting and matching Re-Identification (ReID) features is used by many state-of-the-art (SOTA) Multiple Object Tracking (MOT) methods, particularly effective against frequent and long-term occlusions. While end-to-end object detection and tracking
Externí odkaz:
http://arxiv.org/abs/2409.06617
The Lightweight Integrated Tracking-Feature Extraction (LITE) paradigm is introduced as a novel multi-object tracking (MOT) approach. It enhances ReID-based trackers by eliminating inference, pre-processing, post-processing, and ReID model training c
Externí odkaz:
http://arxiv.org/abs/2409.04187
Autor:
Zhang, Shizhou, Luo, Wenlong, Cheng, De, Yang, Qingchun, Ran, Lingyan, Xing, Yinghui, Zhang, Yanning
In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-based person Re-Identification, named G2A-VReID, which comprises 185,907 images and 5,576 tracklets, featuring 2,788 distinct identities. To our knowledge, this is
Externí odkaz:
http://arxiv.org/abs/2408.07500
Vehicle re-identification (ReID) is a computer vision task that matches the same vehicle across different cameras or viewpoints in a surveillance system. This is crucial for Intelligent Transportation Systems (ITS), where the effectiveness is influen
Externí odkaz:
http://arxiv.org/abs/2407.09966
Text-to-image person re-identification (ReID) retrieves pedestrian images according to textual descriptions. Manually annotating textual descriptions is time-consuming, restricting the scale of existing datasets and therefore the generalization abili
Externí odkaz:
http://arxiv.org/abs/2405.04940
Autor:
Li, Junjie, Wang, Guanshuo, Yu, Fufu, Yan, Yichao, Jia, Qiong, Ding, Shouhong, Sheng, Xingdong, Liu, Yunhui, Yang, Xiaokang
Clothes-changing person re-identification (CC-ReID) aims to retrieve images of the same person wearing different outfits. Mainstream researches focus on designing advanced model structures and strategies to capture identity information independent of
Externí odkaz:
http://arxiv.org/abs/2404.12611
Unsupervised visible-infrared person re-identification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments without labeling. Previous methods utilize intra-modality clustering and
Externí odkaz:
http://arxiv.org/abs/2404.06683
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