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Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
[article]
2021
arXiv
pre-print
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Text-to-image person re-identification (ReID) aims to search for images containing a person of interest using textual descriptions. ...
Accordingly, in this paper, we propose a Semantically Self-Aligned Network (SSAN) to handle the above problems. ...
INTRODUCTION T EXT-to-image person re-identification (ReID) refers to searching for images containing a person of interest (e.g. a missing child) based on natural language descriptions. ...
arXiv:2107.12666v2
fatcat:c3fwkc7vivcxbogohr3mleiymu
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends
[article]
2022
arXiv
pre-print
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Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. ...
It aims to automatically identify/search persons in a multi-camera network having non-overlapping field-of-views. ...
Changxing Ding et al. in [132] presented a multi-task part-aware network to handle the challenge of misalignment. Semantically aligned features of aligned parts are extracted in training phase. ...
arXiv:2202.13121v1
fatcat:luwwbcwspndqpauj4dosmmojee
Deep Learning for Person Re-identification: A Survey and Outlook
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2001.04193v1 fatcat:ygecnhzmsnaangvs2v7rva2niu
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. ...
Meanwhile, we introduce a new evaluation metric (mINP) for person Re-ID, indicating the cost for finding all the correct matches, which provides an additional criteria to evaluate the Re-ID system for ...
semantically-aligned part feature learning. ...
arXiv:2001.04193v2
fatcat:4d3thmsr3va2tnu72nawlu2wxy
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TIP 2021 8236-8250 An End-to-End Foreground-Aware Network for Person Re-Identification. ...
., +, TIP 2021 4973-4984 Batch Coherence-Driven Network for Part-Aware Person Re-Identification. Wang, K., +, TIP 2021 3405-3418 Bifurcated Backbone Strategy for RGB-D Salient Object Detection. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
[article]
2021
arXiv
pre-print
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Text-based person search aims at retrieving target person in an image gallery using a descriptive sentence of that person. ...
Firstly, a novel staircase network structure is proposed to extract full-scale image features with better locality. ...
Related Work
Person Re-identification (ReID). ...
arXiv:2101.03036v1
fatcat:eibhv5yunjervjioss5j6svgme
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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., +, TMM 2021 4483-4490 Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visi-ble-Thermal Person Re-Identification. ...
., +, TMM 2021 2114-2126 Learning Spatial-Temporal Representations Over Walking Tracklet for Long-Term Person Re-Identification in the Wild. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020
947-958
CDPM: Convolutional Deformable Part Models for Semantically Aligned
Person Re-Identification. ...
., +, TIP 2020 5805-5816 Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
[article]
2020
arXiv
pre-print
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Occluded person re-identification (ReID) aims to match occluded person images to holistic ones across dis-joint cameras. ...
At first, we use a CNN backbone and a key-points estimation model to extract semantic local features. Even so, occluded images still suffer from occlusion and outliers. ...
Occluded Person Re-identification. Given occluded probe images, occluded person re-identification [48] aims to find the same person of full-body appearance in dis-joint Figure 2 . ...
arXiv:2003.08177v4
fatcat:qebat4cnw5fr3auusgom3ibany
Table of contents
2020
IEEE Transactions on Image Processing
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Zhu 3401 CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-Identification ..................... ............................................................................. ...
Chen 5531 Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments ................... ........................................................................... ...
doi:10.1109/tip.2019.2940372
fatcat:h23ul2rqazbstcho46uv3lunku
A Comprehensive Overview of Person Re-Identification Approaches
2020
IEEE Access
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This paper provides a comprehensive overview of person re-identification approaches to assist researchers in quickly understand this field with preference as well as to provide a more structured framework ...
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 the construction ...
The importance of semantic attributes, similar to part alignment, are self-evident for person re-identification tasks. ...
doi:10.1109/access.2020.2978344
fatcat:amocokxx25btbdeswuqxasox4u
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TPAMI Feb. 2021 516-531 Learning Part-based Convolutional Features for Person Re-Identification. ...
Jabi, M., +, TPAMI June for Image Classification. Li, J., +, TPAMI May 2021 1808-1814 Learning Part-based Convolutional Features for Person Re-Identification. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Table of Contents
2019
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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UK), and Tao Xiang (University of Surrey) Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ...
via Joint Pixel and Feature Alignment Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification 3641 Jianyuan Guo (Peking University), Yuhui Yuan (Microsoft Research), Lang Huang ...
doi:10.1109/iccv.2019.00004
fatcat:5aouo4scprc75c7zetsimylj2y
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
[article]
2020
arXiv
pre-print
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In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment, transmit them to cloud centers, and receive feedback via the internet for connectivity ...
This paper presents a comprehensive survey on AIoT to show how AI can empower the IoT to make it faster, smarter, greener, and safer. ...
Although biometric recognition offers great utility, the concerns about data security and privacy have to be carefully addressed in practical AIoT systems. 7) Person Re-Identification: Person re-identification ...
arXiv:2011.08612v1
fatcat:dflut2wdrjb4xojll34c7daol4
Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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for Person Re-Identification DAY 4 -Jan 15, 2021 Liu, Hong; Miao, Ziling; Yang, Bing; Ding, Runwei 2104 A Base-Derivative Framework for Cross-Modality RGB-Infrared Person Re-Identification DAY 4 -Jan ...
GAN for Unsupervised Person Re-identification
DAY 4 -Jan 15, 2021
Dietlmeier, Julia; Antony, Joseph;
McGuinness, Kevin; O'Connor,
Noel E
1921
How Important Are Faces for Person Re-Identification ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
[article]
2021
arXiv
pre-print
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Visible-infrared cross-modality person re-identification is a challenging ReID task, which aims to retrieve and match the same identity's images between the heterogeneous visible and infrared modalities ...
To our knowledge, this is the first work of applying transformer network to the cross-modality re-identification task. ...
The Visible-
infrared person re-identification attempts to recognize visi-
ble and infrared images of a person under cameras of differ-
ent modalities. ...
arXiv:2110.08994v1
fatcat:yjkremq7sfbjtdyheplvxg44vm
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