Unsupervised Domain Adaptive Person Reidentification Based on Relation Awareness and Feature Relearning

Yajun Li; Min Zhang; Yangyang Deng; Ming Xin

doi:10.3788/LOP232152

Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1437002(2024)

Unsupervised Domain Adaptive Person Reidentification Based on Relation Awareness and Feature Relearning

Yajun Li¹, Min Zhang¹, Yangyang Deng¹, and Ming Xin^2、*

Author Affiliations

¹School of Artificial Intelligence, Henan University, Zhengzhou 450046, Henan , China

²School of Computer and Information Engineering, Henan University, Kaifeng 475001, Henan , China

show less

Abstract Get PDF(in Chinese)

References(28)

[1] Streeter M J V, Colgan C, Cobo C C et al. Laser wakefield accelerator modeling with variational neural networks[J]. High Power Laser Science and Engineering, 11, e9(2023).

[2] Lin J P, Haberstroh F, Karsch S et al. Applications of object detection networks in high-power laser systems and experiments[J]. High Power Laser Science and Engineering, 11, e7(2023).

[3] Goodman J, King M, Dolier E J et al. Optimization and control of synchrotron emission in ultraintense laser-solid interactions using machine learning[J]. High Power Laser Science and Engineering, 11, e34(2023).

[4] Liu J L, Sun Y F, Zhu F et al. Learning memory-augmented unidirectional metrics for cross-modality person re-identification[C], 19344-19353(2022).

[5] Huo D D, Du H S. Cross-modal person reidentification based on channel reorganization and attention mechanism[J]. Laser and Optoelectronics Progress, 60, 1410007(2023).

[6] Huang N C, Liu K L, Li Y et al. Cross-modality person reidentification via multitask learning[J]. Pattern Recognition, 128, 108653(2022).

[7] Chen H, Zhang B H, Lü X Q et al. Soft pseudolabel and multiscale feature fusion for person re-identification[J]. Laser and Optoelectronics Progress, 59, 2420001(2022).

[8] Wang H C, Shen J Y, Liu Y T et al. NFormer: robust person reidentification with neighbor transformer[C], 7287-7297(2022).

[9] Wei L H, Zhang S L, Gao W et al. Person transfer GAN to bridge domain gap for person re-identification[C], 79-88(2018).

[10] Li Y J, Lin C S, Lin Y B et al. Cross-dataset person reidentification via unsupervised pose disentanglement and adaptation[C], 7918-7928(2020).

[11] Jin X, Lan C L, Zeng W J et al. Style normalization and restitution for generalizable person re-identification[C], 3140-3149(2020).

[12] Wang D K, Zhang S L. Unsupervised person reidentification via multilabel classification[C], 10978-10987(2020).

[13] Zou Y, Yang X D, Yu Z D, Vedaldi A, Bischof H, Brox T et al. Joint disentangling and adaptation for cross-domain person re-identification[M]. Computer vision-ECCV 2020. Lecture notes in computer science, 12347, 87-104(2020).

[14] Yu H X, Zheng W S, Wu A C et al. Unsupervised person reidentification by soft multilabel learning[C], 2143-2152(2020).

[15] Kumar D, Siva P, Marchwica P et al. Unsupervised domain adaptation in person re-ID via k-reciprocal clustering and large-scale heterogeneous environment synthesis[C], 2634-2643(2020).

[16] Song L C, Wang C, Zhang L F et al. Unsupervised domain adaptive re-identification: theory and practice[J]. Pattern Recognition, 102, 107173(2020).

[17] Ge Y X, Chen D P, Li H S. Mutual mean teaching: pseudolabel refinery for unsupervised domain adaptation on person re-identification[EB/OL]. https://arxiv.org/abs/2001.01526

[18] Xie H N, Luo H, Gu J Y et al. Unsupervised domain adaptive person reidentification via intermediate domains[J]. Applied Sciences, 12, 6990(2022).

[19] Lan X, Zhu X T, Gong S G. Unsupervised cross-domain person reidentification using instance and distribution alignment[J]. Pattern Recognition, 124, 108514(2022).

[20] Zhong Z, Zheng L, Luo Z M et al. Invariance matters: exemplar memory for domain adaptive person re-identification[C], 598-607(2020).

[21] Fu Y, Wei Y C, Wang G S et al. Self-similarity grouping: a simple unsupervised cross domain adaptation approach for person re-identification[C], 6111-6120(2020).

[22] Wu A C, Zheng W S, Lai J H. Unsupervised person reidentification by camera-aware similarity consistency learning[C], 6921-6930(2020).

[23] Ding Y H, Fan H H, Xu M L et al. Adaptive exploration for unsupervised person re-identification[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 16, 3(2020).

[24] Yang F X, Li K, Zhong Z et al. Asymmetric coteaching for unsupervised cross-domain person re-identification[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12597-12604(2020).

[25] Chen H, Wang Y H, Lagadec B et al. Learning invariance from the generated variance for unsupervised person re-identification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 7494-7508(2023).

[26] Zhang S, Hu H F. Unsupervised person reidentification using unified domanial learning[J]. Neural Processing Letters, 55, 6887-6905(2023).

[27] Li Y F, Zhu X D, Sun J et al. Unsupervised person reidentification based on high-quality pseudo labels[J]. Applied Intelligence, 53, 15112-15126(2023).

[28] Wang W H, Zhao F, Liao S C et al. Attentive WaveBlock: complementarity-enhanced mutual networks for unsupervised domain adaptation in person reidentification and beyond[J]. IEEE Transactions on Image Processing, 31, 1532-1544(2022).

Tools

Get Citation

Copy Citation Text

Yajun Li, Min Zhang, Yangyang Deng, Ming Xin. Unsupervised Domain Adaptive Person Reidentification Based on Relation Awareness and Feature Relearning[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1437002

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Digital Image Processing

Received: Sep. 18, 2023

Accepted: Nov. 1, 2023

Published Online: Jul. 8, 2024

The Author Email: Ming Xin (xinming@henu.edu.cn)

DOI:10.3788/LOP232152

CSTR:32186.14.LOP232152

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology