"Person re-identification"의 두 판 사이의 차이
| 28번째 줄: | 28번째 줄: | ||
===Person re-identification using kernel-based metric learning methods=== | ===Person re-identification using kernel-based metric learning methods=== | ||
| − | + | F Xiong, M Gou, O Camps, M Sznaier - European conference on computer …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10584-0_1] | |
===Salient color names for person re-identification=== | ===Salient color names for person re-identification=== | ||
| − | + | Y Yang, J Yang, J Yan, S Liao, D Yi, SZ Li - European Conference on …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10590-1_35] | |
===An improved deep learning architecture for person re-identification=== | ===An improved deep learning architecture for person re-identification=== | ||
| − | + | E Ahmed, M Jones, TK Marks - Proceedings of the IEEE …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Ahmed_An_Improved_Deep_2015_CVPR_paper.html] | |
| − | + | ||
| + | [https://github.com/Ning-Ding/Implementation-CVPR2015-CNN-for-ReID github] | ||
===Person re-identification by salience matching=== | ===Person re-identification by salience matching=== | ||
| − | + | R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_iccv_2013/html/Zhao_Person_Re-identification_by_2013_ICCV_paper.html] | |
===Deep metric learning for person re-identification=== | ===Deep metric learning for person re-identification=== | ||
| − | + | D Yi, Z Lei, S Liao, SZ Li - Pattern Recognition (ICPR), 2014 …, 2014 - ieeexplore.ieee.org [http://ieeexplore.ieee.org/abstract/document/6976727/] | |
===A survey of approaches and trends in person re-identification=== | ===A survey of approaches and trends in person re-identification=== | ||
| − | + | A Bedagkar-Gala, SK Shah - Image and Vision Computing, 2014 - Elsevier [http://www.sciencedirect.com/science/article/pii/S0262885614000262] | |
===Person re-identification by video ranking=== | ===Person re-identification by video ranking=== | ||
| − | + | T Wang, S Gong, X Zhu, S Wang - European Conference on Computer …, 2014 - Springer [http://link.springer.com/chapter/10.1007/978-3-319-10593-2_45] | |
===Learning to rank in person re-identification with metric ensembles=== | ===Learning to rank in person re-identification with metric ensembles=== | ||
| − | + | S Paisitkriangkrai, C Shen… - Proceedings of the IEEE …, 2015 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Paisitkriangkrai_Learning_to_Rank_2015_CVPR_paper.html] | |
===Learning a discriminative null space for person re-identification=== | ===Learning a discriminative null space for person re-identification=== | ||
| − | + | L Zhang, T Xiang, S Gong - … of the IEEE Conference on Computer …, 2016 - cv-foundation.org, cited by 44 | |
| − | + | ||
| − | + | [http://www.eecs.qmul.ac.uk/~lz/ pdf and code] Li Zhang’s page | |
===Learning deep feature representations with domain guided dropout for person re-identification=== | ===Learning deep feature representations with domain guided dropout for person re-identification=== | ||
| − | + | T Xiao, H Li, W Ouyang, X Wang - Proceedings of the IEEE …, 2016 - cv-foundation.org [http://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Xiao_Learning_Deep_Feature_CVPR_2016_paper.html], cited by 39 | |
| − | + | ||
| − | + | [https://github.com/Cysu/dgd_person_reid github] | |
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2017년 5월 15일 (월) 11:14 판
구글에서 걍 검색. 2013년 이후 인용 75 이상인것들.
목차
- 1 Mahalanobis distance learning for person re-identification
- 2 Unsupervised salience learning for person re-identification
- 3 Learning mid-level filters for person re-identification
- 4 Deepreid: Deep filter pairing neural network for person re-identification
- 5 Person re-identification by LOMO(local maximal occurrence) representation and metric learning
- 6 Person re-identification using kernel-based metric learning methods
- 7 Salient color names for person re-identification
- 8 An improved deep learning architecture for person re-identification
- 9 Person re-identification by salience matching
- 10 Deep metric learning for person re-identification
- 11 A survey of approaches and trends in person re-identification
- 12 Person re-identification by video ranking
- 13 Learning to rank in person re-identification with metric ensembles
- 14 Learning a discriminative null space for person re-identification
- 15 Learning deep feature representations with domain guided dropout for person re-identification
Mahalanobis distance learning for person re-identification
PM Roth, M Hirzer, M Köstinger, C Beleznai… - … Re-Identification, 2014 - Springer [1] Gong의 책중 한 챕터
Unsupervised salience learning for person re-identification
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [2]
Learning mid-level filters for person re-identification
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [3]
Deepreid: Deep filter pairing neural network for person re-identification
W Li, R Zhao, T Xiao, X Wang - Proceedings of the IEEE …, 2014 - cv-foundation.org [4]
Person re-identification by LOMO(local maximal occurrence) representation and metric learning
S Liao, Y Hu, X Zhu, SZ Li - … of the IEEE Conference on Computer …, 2015 - cv-foundation.org [5]
- Retinex algorithm
Retinex considers human lightness and color perception. It aims at producing a color image that is consistent to human observation of the scene. The restored image usually contains vivid color in- formation, especially enhanced details in shadowed regions.
- multi-scale Retinex algorithm
- SILTP
we also apply the Scale Invariant Local Ternary Pattern (SILTP) [26] descriptor for illumination invariant texture description. SILTP is an im- proved operator over the well-known Local Binary Pattern (LBP) [37]. In fact, LBP has a nice invariant property un- der monotonic gray-scale transforms, but it is not robust to image noises. SILTP improves LBP by introducing a scale invariant local comparison tolerance, achieving invariance to intensity scale changes and robustness to image noises.
- Bayesian face
learning the distance function corresponds to estimating the covariant matrices \(\Sigma_I\) and \(\Sigma_E\).
- I : interpersonal , E : extrapersonal. I : 같은 label의 \(\delta\)x, E : 다른 label의 \(\delta\)x.
- Fisher criterion [6]
Fisher criterion is a discriminant criterion function that was first presented by Fisher in 1936. It is defined by the ratio of the between-class scatter to the within-class scatter. By maximizing this criterion, one can obtain an optimal discriminant projection axis. After the sample being projected on to this projection axis, the within-class scatter is minimized and the between-class scatter is maximized.
Person re-identification using kernel-based metric learning methods
F Xiong, M Gou, O Camps, M Sznaier - European conference on computer …, 2014 - Springer [9]
Salient color names for person re-identification
Y Yang, J Yang, J Yan, S Liao, D Yi, SZ Li - European Conference on …, 2014 - Springer [10]
An improved deep learning architecture for person re-identification
E Ahmed, M Jones, TK Marks - Proceedings of the IEEE …, 2015 - cv-foundation.org [11]
Person re-identification by salience matching
R Zhao, W Ouyang, X Wang - Proceedings of the IEEE …, 2013 - cv-foundation.org [12]
Deep metric learning for person re-identification
D Yi, Z Lei, S Liao, SZ Li - Pattern Recognition (ICPR), 2014 …, 2014 - ieeexplore.ieee.org [13]
A survey of approaches and trends in person re-identification
A Bedagkar-Gala, SK Shah - Image and Vision Computing, 2014 - Elsevier [14]
Person re-identification by video ranking
T Wang, S Gong, X Zhu, S Wang - European Conference on Computer …, 2014 - Springer [15]
Learning to rank in person re-identification with metric ensembles
S Paisitkriangkrai, C Shen… - Proceedings of the IEEE …, 2015 - cv-foundation.org [16]
Learning a discriminative null space for person re-identification
L Zhang, T Xiang, S Gong - … of the IEEE Conference on Computer …, 2016 - cv-foundation.org, cited by 44
pdf and code Li Zhang’s page
Learning deep feature representations with domain guided dropout for person re-identification
T Xiao, H Li, W Ouyang, X Wang - Proceedings of the IEEE …, 2016 - cv-foundation.org [17], cited by 39
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