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Tracklet self-supervised learning for unsupervised person re-identification
Existing unsupervised person re-identification (re-id) methods mainly focus on cross-domain
adaptation or one-shot learning. Although they are more scalable than the supervised …
adaptation or one-shot learning. Although they are more scalable than the supervised …
Part-aware progressive unsupervised domain adaptation for person re-identification
F Yang, K Yan, S Lu, H Jia, D ** enhances pose alignment for person re-identification
P Wang, Z Zhao, F Su, X Zu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Despite the remarkable progress in recent years, person Re-Identification (ReID)
approaches frequently fail in cases where the semantic body parts are misaligned between …
approaches frequently fail in cases where the semantic body parts are misaligned between …
REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking
C Neff, M Mendieta, S Mohan… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
This article presents real-time edge video analytics for multicamera privacy-aware
pedestrian tracking (REVAMP 2 T), as an integrated end-to-end Internet of Things (IoT) …
pedestrian tracking (REVAMP 2 T), as an integrated end-to-end Internet of Things (IoT) …
Person re-identification with reinforced attribute attention selection
Person re-identification (Re-ID) aims to match pedestrian images across various scenes in
video surveillance. There are a few works using attribute information to boost Re-ID …
video surveillance. There are a few works using attribute information to boost Re-ID …
Ltreid: Factorizable feature generation with independent components for long-tailed person re-identification
P Wang, Z Zhao, F Su, H Meng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid increase of large-scale and real-world person datasets, it is crucial to address
the problem of long-tailed data distributions, ie, head classes have large number of images …
the problem of long-tailed data distributions, ie, head classes have large number of images …
An end-to-end foreground-aware network for person re-identification
Person re-identification is a crucial task of identifying pedestrians of interest across multiple
surveillance camera views. For person re-identification, a pedestrian is usually represented …
surveillance camera views. For person re-identification, a pedestrian is usually represented …
Boundary-restricted metric learning
S Chen, C Gong, X Li, J Yang, G Niu, M Sugiyama - Machine Learning, 2023 - Springer
Metric learning aims to learn a distance metric to properly measure the similarities between
pairwise examples. Most existing learning algorithms are designed to reduce intra-class …
pairwise examples. Most existing learning algorithms are designed to reduce intra-class …