Re-ranking person re-identification with k-reciprocal encoding
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
A comprehensive overview of person re-identification approaches
H Wang, H Du, Y Zhao, J Yan - Ieee Access, 2020 - ieeexplore.ieee.org
Person re-identification, identifying and tracking pedestrians in cross-domain monitoring
systems, is an important technology in the computer vision field and of real significance for …
systems, is an important technology in the computer vision field and of real significance for …
Person re-identification ranking optimisation by discriminant context information analysis
Person re-identification is an open and challenging problem in computer vision. Existing re-
identification approaches focus on optimal methods for features matching (eg, metric …
identification approaches focus on optimal methods for features matching (eg, metric …
Discriminant context information analysis for post-ranking person re-identification
Existing approaches for person re-identification are mainly based on creating distinctive
representations or on learning optimal metrics. The achieved results are then provided in the …
representations or on learning optimal metrics. The achieved results are then provided in the …
Ag-reid 2023: Aerial-ground person re-identification challenge results
Person re-identification (Re-ID) on aerial-ground platforms has emerged as an intriguing
topic within computer vision, presenting a plethora of unique challenges. Highflying altitudes …
topic within computer vision, presenting a plethora of unique challenges. Highflying altitudes …
Re-ranking person re-identification using attributes learning
Person re-identification (Re-ID) across multi-camera views remains a very challenging task.
In fact, the use of global convolutional neural network (CNN) features is not optimal since the …
In fact, the use of global convolutional neural network (CNN) features is not optimal since the …
Person Re-ID through unsupervised hypergraph rank selection and fusion
LP Valem, DCG Pedronette - Image and Vision Computing, 2022 - Elsevier
Person Re-ID has been gaining a lot of attention and nowadays is of fundamental
importance in many camera surveillance applications. The task consists of identifying …
importance in many camera surveillance applications. The task consists of identifying …
Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification
Person Re-Identification (Re-ID) emerges as a important technique in sports analytics,
enabling the accurate matching and recognition of players throughout a game. The …
enabling the accurate matching and recognition of players throughout a game. The …
Cross-modal person search: A coarse-to-fine framework using bi-directional text-image matching
Searching person images from a gallery based on natural language descriptions remains to
be a challenging and under-explored cross-modal retrieval problem. To improve the …
be a challenging and under-explored cross-modal retrieval problem. To improve the …
Cooperative bandwidth sharing for 5g heterogeneous network using game theory
S Yuan, Q Liang - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
In recent years, 4G LTE networks have been deployed by some operators and some of them
also sell Femto Cell service in the market. As a kind of Heterogeneous network in cellular …
also sell Femto Cell service in the market. As a kind of Heterogeneous network in cellular …