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Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
[article]
2019
arXiv
pre-print
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To exploit the multilevel corresponding visual contents, we propose a pose-guided multi-granularity attention network (PMA). ...
Text-based person search aims to retrieve the corresponding person images in an image database by virtue of a describing sentence about the person, which poses great potential for various applications ...
, 61572504), Capital Science and Technology Leading Talent Training Project (Z181100006318030), and Beijing Science and Technology Project (Z181100008918010). ...
arXiv:1809.08440v3
fatcat:rb33zfv645at3nfh7qu7vcjqvi
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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To exploit the multilevel corresponding visual contents, we propose a pose-guided multi-granularity attention network (PMA). ...
Text-based person search aims to retrieve the corresponding person images in an image database by virtue of a describing sentence about the person, which poses great potential for various applications ...
, 61572504), Capital Science and Technology Leading Talent Training Project (Z181100006318030), and Beijing Science and Technology Project (Z181100008918010). ...
doi:10.1609/aaai.v34i07.6777
fatcat:e7o4adxewrb5ned33qnmjdisuq
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives
[article]
2023
arXiv
pre-print
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In this review, we start by providing a detailed overview of the datasets and evaluation scheme used for occluded person Re-ID. ...
Next, we scientifically classify and analyze existing deep learning-based occluded person Re-ID methods from various perspectives, summarizing them concisely. ...
) can guide the feature extraction process for person Re-ID. ...
arXiv:2311.00603v1
fatcat:blrhcoek3fb3zg6drgxcmdbqk4
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
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 ...
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. ...
For CUHK03
Fig. 6 : 6 State-of-the-arts (SOTA) on four widely used video-based person Re-ID datasets. ...
arXiv:2001.04193v2
fatcat:4d3thmsr3va2tnu72nawlu2wxy
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. ...
We have considered top 3 video based person re-id dataset MARS, DukeMTMC-Video re-id and iLIDS for our review on which person re-id models achieved best performance. ...
arXiv:2202.13121v1
fatcat:luwwbcwspndqpauj4dosmmojee
Transformer for Object Re-Identification: A Survey
[article]
2024
arXiv
pre-print
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This paper provides a comprehensive review and in-depth analysis of the Transformer-based Re-ID. ...
In categorizing existing works into Image/Video-Based Re-ID, Re-ID with limited data/annotations, Cross-Modal Re-ID, and Special Re-ID Scenarios, we thoroughly elucidate the advantages demonstrated by ...
for Re-ID and Efficient Transformer Deployment for Re-ID.
1 ) 2 ) 12 Transformer in Image/Video Based Re-ID: At the backbone level, the Transformer entirely relies on the attention mechanism, providing ...
arXiv:2401.06960v1
fatcat:t5gsdon4grh55kkkzo3tnkdb5e
Deep Learning for Video-based Person Re-Identification: A Survey
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2303.11332v1 fatcat:4uwoyepa25e4phnlfzwp5luw2m
Video-based person re-identification (video re-ID) has lately fascinated growing attention due to its broad practical applications in various areas, such as surveillance, smart city, and public safety. ...
Compared to image-based re-ID, video re-ID is much more challenging and complex. ...
We classify the previous and existing work of literature on person re-ID into five major categories named re-ID in the crowd, DL for re-ID, appearance descriptor for re-ID, opened the world, and closed ...
arXiv:2303.11332v2
fatcat:qbs7m3myevfdtgfeto3m36phxa
Deep learning-based person re-identification methods: A survey and outlook of recent works
[article]
2022
arXiv
pre-print
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In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics ...
With the widespread application of deep neural networks, many deep learning-based person Re-ID methods have emerged. ...
This work was supported by the National Key Research and Development Project of China (No. JG2018190), and in part by the National Natural Science Foundation of China (No. 61872256). ...
arXiv:2110.04764v5
fatcat:x2on7dfe2rdfxhaev3c3j34ugu
Human Image Generation: A Comprehensive Survey
[article]
2024
arXiv
pre-print
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2022 pre-print arXiv:2212.08896v1 fatcat:miblmkfc3bf7nc42ux7b52rph4
., data-driven methods, knowledge-guided methods and hybrid methods. ...
Many researchers have been devoted to synthesizing high-fidelity human images as one of the most commonly seen object categories in daily lives, where a large number of studies are performed based on various ...
ACKNOWLEDGMENTS This work is funded by the National Natural Science Foundation of China (Grant No. 62106260, 62236010 and 62076078) and China Postdoctoral Science Foundation (Grant No. 2020M680751). ...
arXiv:2212.08896v2
fatcat:vthtcxzkrjfk7jawz5uyowzioq
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
[article]
2022
arXiv
pre-print
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Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. ...
During training, we resort to Part-Guided Proposal Generator (PGPG) and multi-domain knowledge distillation to further improve the accuracy. ...
Thus the network can estimate human pose and re-ID feature simultaneously. A Pose-Guided Attention Mechanism (PGA) is adopted to enhance the person identity feature. ...
arXiv:2211.03375v1
fatcat:djazov562fcwhnm6nlozsraax4
Person search: New paradigm of person re-identification: A survey and outlook of recent works
2020
Image and Vision Computing
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In last few years, deep learning has played unremarkable role for the solution of re-identification problem. Deep learning shows incredible performance in person (re-ID) and search. ...
This task aims to find a probe person from whole scene which shows great significance in video surveillance field to track lost people, re-identification, and verification of person. ...
EEPSS [57] Developed single shot detector based on person search network for person detection and re-ID. They applied triplet loss function to obtain better classification. ...
doi:10.1016/j.imavis.2020.103970
fatcat:g2zuqww7tbdszkxrc2wkrfno2y
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
[article]
2021
arXiv
pre-print
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In order to facilitate the practical application, we propose a simple but effective end-to-end learning framework for text-based person search named TIPCB (i.e., Text-Image Part-based Convolutional Baseline ...
Text-based person search is a sub-task in the field of image retrieval, which aims to retrieve target person images according to a given textual description. ...
re-ID [44, 45, 46] and so on. ...
arXiv:2105.11628v1
fatcat:sncrse43ffg27mwnvc2qizxrs4
Face2Diffusion for Fast and Editable Face Personalization
[article]
2024
arXiv
pre-print
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the diversity of camera poses. 2) Expression guidance disentangles face expressions from identities and improves the controllability of face expressions. 3) Class-guided denoising regularization encourages ...
Extensive experiments on the FaceForensics++ dataset and diverse prompts demonstrate our method greatly improves the trade-off between the identity- and text-fidelity compared to previous state-of-the-art ...
Acknowledgements This work is supported by JSPS KAKENHI Grant Number JP23KJ0599 and partially supported by JSPS KAKENHI Grant Number JP22H03640 and Institute for AI and Beyond of The University of Tokyo ...
arXiv:2403.05094v1
fatcat:wezd3axhwjd5hkiw2a3flflhi4
A Brief Survey on Person Recognition at a Distance
[article]
2022
arXiv
pre-print
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In particular, we review recent work in multi-spectral face verification, person re-identification, and gait-based analysis techniques. ...
Furthermore, we discuss the merits and drawbacks of existing approaches and identify important, yet under explored challenges for deploying remote person recognition systems in-the-wild. ...
Gait analysis is a technique for recognizing people based on their pose and motion. ...
arXiv:2212.08969v1
fatcat:uguxl4ilxjaydilmvcfg3iyrdy
Spectrum-guided Feature Enhancement Network for Event Person Re-Identification
[article]
2024
arXiv
pre-print
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However, compared to traditional cameras, event streams often contain noise and possess extremely sparse semantics, posing a formidable challenge for event-based person re-identification (event Re-ID). ...
To address this, we introduce a novel event person re-identification network: the Spectrum-guided Feature Enhancement Network (SFE-Net). ...
presented a Spectrum-guided Feature Enhancement Network (SFE-Net) for the event person Re-ID task. ...
arXiv:2402.01269v1
fatcat:wrj5lm4hnndf7gvvcuz56q6hai
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