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This work focuses on player re-identification in broadcast videos of team sports.
Beyond intra-modality: A survey of heterogeneous person re-identification
Z. Wang, Z. Wang, Y. Zheng, Y. Wu, W. Zeng, and S. Satoh · 1905
Earlier work this paper cites.
Person re-identification using group information
A. Bialkowski, P. Lucey, X. Wei, and S. Sridharan · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
Deepreid: Deep filter pairing neural network for person re-identification
W. Li, R. Zhao, T. Xiao, and X. Wang · 2014
Earlier work this paper cites.
Where to buy it: Matching street clothing photos in online shops
M. Hadi Kiapour, X. Han, S. Lazebnik, A. C. Berg, and T. L. Berg · 2015
Earlier work this paper cites.
Scalable person re-identification: A benchmark
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2016
Earlier work this paper cites.
Hierarchical gaussian descriptor for person re-identification
T. Matsukawa, T. Okabe, E. Suzuki, and Y. Sato · 2016
Earlier work this paper cites.
In defense of the triplet loss for person re-identification
A. Hermans, L. Beyer, and B. Leibe · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2017
Earlier work this paper cites.
Person transfer gan to bridge domain gap for person re-identification
L. Wei, S. Zhang, W. Gao, and Q. Tian · 2018
Cited alongside, same era.
Hierarchical discriminative learning for visible thermal person re-identification
M. Ye, X. Lan, J. Li, and P. Yuen · 2018
Cited alongside, same era.
A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning
T.-T. Do, T. Tran, I. Reid, V. Kumar, T. Hoang, and G. Carneiro · 2019
Cited alongside, same era.
Centroid-based deep metric learning for speaker recognition
J. Wang, K.-C. Wang, M. T. Law, F. Rudzicz, and M. Brudno · 2019
Cited alongside, same era.
Deep learning-based methods for person re-identification: A comprehensive review
D. Wu, S.-J. Zheng, X.-P. Zhang, C.-A. Yuan, F. Cheng, Y. Zhao, Y.-J. Lin, Z.-Q. Zhao, Y.-L. Jiang, and D.-S. Huang · 2019
Cited alongside, same era.
Hierarchical clustering with hard-batch triplet loss for person re-identification
K. Zeng, M. Ning, Y. Wang, and Y. Guo · 2020
Later among the works it cites.
Beyond triplet loss: Meta prototypical n-tuple loss for person re-identification
Z. Zhang, C. Lan, W. Zeng, Z. Chen, and S.-F. Chang · 2020
Later among the works it cites.
Soccernet-v2 : A dataset and benchmarks for holistic understanding of broadcast soccer videos
A. Deliége, A. Cioppa, S. Giancola, M. J. Seikavandi, J. V. Dueholm, K. Nasrollahi, B. Ghanem, T. B. Moeslund, and M. V. Droogenbroeck · 2021
Later among the works it cites.
Transreid: Transformer-based object re-identification
S. He, H. Luo, P. Wang, F. Wang, H. Li, and W. Jiang · 2021
Later among the works it cites.
Training data-efficient image transformers & distillation through attention
H. Touvron, M. Cord, M. Douze, F. Massa, A. Sablayrolles, and H. Jégou · 2021
Later among the works it cites.
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K. Zhou and T. Xiang · 2019
Cited alongside, same era.
Omni-scale feature learning for person re-identification
K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
Cited alongside, same era.
Centroids triplet network and temporally-consistent embeddings for in-situ object recognition
M. Lagunes-Fortiz, D. Damen, and W. Mayol-Cuevas · 2020
Cited alongside, same era.
Tgc20reid: A dataset for sport event re-identification in the wild
A. Penate-Sanchez, D. Freire-Obregon, A. Lorenzo-Melian, J. Lorenzo-Navarro, and M. Castrillon-Santana · 2020
Cited alongside, same era.
In defense of the triplet loss again: Learning robust person re-identification with fast approximated triplet loss and label distillation
Y. Yuan, W. Chen, Y. Yang, and Z. Wang · 2020
Cited alongside, same era.
A literature survey on person re-identification
V. Radh and S. Suresh
Cited in the paper.
Robust video-based person re-identification by hierarchical mining
Z. Wang, L. He, X. Tu, J. Zhao, X. Gao, S. Shen, and J. Feng · 2021
Later among the works it cites.
On the unreasonable effectiveness of centroids in image retrieval
M. Wieczorek, B. Rychalska, and J. Dąbrowski · 2021
Later among the works it cites.
Online pseudo label generation by hierarchical cluster dynamics for adaptive person re-identification
Y. Zheng, S. Tang, G. Teng, Y. Ge, K. Liu, J. Qin, D. Qi, and D. Chen · 2021
Later among the works it cites.
Learning generalisable omni-scale representations for person re-identification
K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang · 2021
Later among the works it cites.
https://www.soccer-net.org/tasks/re-identification
Soccernet player re-identification challenge 2022 · 2022
Closest in time.
Modified centroid triplet loss for person re-identification
A. Alnissany and Y. Dayoub · 2022
Closest in time.