Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1410007(2023)

Cross-Modal Person Re-Identification Based on Channel Reorganization and Attention Mechanism

Dongdong Huo and Haishun Du*
Author Affiliations
  • School of Artificial Intelligence, Henan University, Zhengzhou 450046, Henan, China
  • show less
    References(40)

    [2] Liu S, Dang J W, Wang S et al. Person re-identification based on first-order and second-order spatial information[J]. Laser & Optoelectronics Progress, 58, 0215005(2021).

    [3] Li S, Li H F, Li F. Fine-grained cross-modality person re-identification based on mutual prediction learning[J]. Laser & Optoelectronics Progress, 59, 1010010(2022).

    [4] Wang F S, Liu F R, Chen J G et al. Multi-loss joint cross-modality person re-identification method integrating attention mechanism[J]. Laser & Optoelectronics Progress, 59, 0810010(2022).

    [5] Tian Y M, Li Q, Wang D et al. Robust joint learning network: improved deep representation learning for person re-identification[J]. Multimedia Tools and Applications, 78, 24187-24203(2019).

    [6] Nguyen D T, Hong H G, Kim K W et al. Person recognition system based on a combination of body images from visible light and thermal cameras[J]. Sensors, 17, 605(2017).

    [7] Mudunuri S P, Venkataramanan S, Biswas S. Dictionary alignment with re-ranking for low-resolution NIR-VIS face recognition[J]. IEEE Transactions on Information Forensics and Security, 14, 886-896(2019).

    [8] Wu A C, Zheng W S, Yu H X et al. RGB-infrared cross-modality person re-identification[C], 5390-5399(2017).

    [9] Zhong X, Lu T Y, Huang W X et al. Visible-infrared person re-identification via colorization-based Siamese generative adversarial network[C], 421-427(2020).

    [10] Wang G A, Zhang T Z, Yang Y et al. Cross-modality paired-images generation for RGB-infrared person re-identification[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12144-12151(2020).

    [11] Wang G A, Zhang T Z, Cheng J et al. RGB-infrared cross-modality person re-identification via joint pixel and feature alignment[C], 3622-3631(2019).

    [12] Ye M, Shen J B, Crandall D J et al. Dynamic dual-attentive aggregation learning for visible-infrared person re-identification[M]. Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020. Lecture notes in computer science, 12362, 229-247(2020).

    [13] Zhang W, He X Y, Lu W Z et al. Feature aggregation with reinforcement learning for video-based person re-identification[J]. IEEE Transactions on Neural Networks and Learning Systems, 30, 3847-3852(2019).

    [14] Oreifej O, Mehran R, Shah M. Human identity recognition in aerial images[C], 709-716(2010).

    [15] Jüngling K, Bodensteiner C, Arens M. Person re-identification in multi-camera networks[C], 55-61(2011).

    [16] Weinberger K Q, Saul L K. Distance metric learning for large margin nearest neighbor classification[J]. Journal of Machine Learning Research, 10, 207-244(2009).

    [17] Liao S C, Hu Y, Zhu X Y et al. Person re-identification by Local Maximal Occurrence representation and metric learning[C], 2197-2206(2015).

    [18] Li W, Zhao R, Xiao T et al. DeepReID: deep filter pairing neural network for person re-identification[C], 152-159(2014).

    [19] Wang J Y, Zhu X T, Gong S G et al. Transferable joint attribute-identity deep learning for unsupervised person re-identification[C], 2275-2284(2018).

    [21] Zheng F, Deng C, Sun X et al. Pyramidal person re-IDentification via multi-loss dynamic training[C], 8506-8514(2019).

    [22] Wang Z X, Wang Z, Zheng Y Q et al. Learning to reduce dual-level discrepancy for infrared-visible person re-identification[C], 618-626(2019).

    [23] Hao Y, Wang N N, Li J et al. HSME: hypersphere manifold embedding for visible thermal person re-identification[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 33, 8385-8392(2019).

    [24] Zhu Y X, Yang Z, Wang L et al. Hetero-center loss for cross-modality person re-identification[J]. Neurocomputing, 386, 97-109(2020).

    [25] Lu Y, Wu Y, Liu B et al. Cross-modality person re-identification with shared-specific feature transfer[C], 13376-13386(2020).

    [26] Dai P Y, Ji R R, Wang H B et al. Cross-modality person re-identification with generative adversarial training[C], 677-683(2018).

    [27] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C], 7794-7803(2018).

    [28] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

    [29] Fu J, Liu J, Tian H J et al. Dual attention network for scene segmentation[C], 3141-3149(2020).

    [30] Wang C, Zhang Q, Huang C et al. Mancs: a multi-task attentional network with curriculum sampling for person re-identification[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11208, 384-400(2018).

    [31] Gui S J, Zhu Y, Qin X X et al. Learning multi-level domain invariant features for sketch re-identification[J]. Neurocomputing, 403, 294-303(2020).

    [32] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

    [33] Ye M, Wang Z, Lan X Y et al. Visible thermal person re-identification via dual-constrained top-ranking[C], 1092-1099(2018).

    [34] Ye M, Lan X Y, Leng Q M. Modality-aware collaborative learning for visible thermal person re-identification[C], 347-355(2019).

    [35] Feng Z X, Lai J H, Xie X H. Learning modality-specific representations for visible-infrared person re-identification[J]. IEEE Transactions on Image Processing, 29, 579-590(2020).

    [37] Basaran E, Gökmen M, Kamasak M E. An efficient framework for visible-infrared cross modality person re-identification[J]. Signal Processing: Image Communication, 87, 115933(2020).

    [38] Li D G, Wei X, Hong X P et al. Infrared-visible cross-modal person re-identification with an X modality[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 4610-4617(2020).

    [39] Ye M, Lan X Y, Leng Q M et al. Cross-modality person re-identification via modality-aware collaborative ensemble learning[J]. IEEE Transactions on Image Processing, 29, 9387-9399(2020).

    [40] Liu H J, Cheng J, Wang W et al. Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification[J]. Neurocomputing, 398, 11-19(2020).

    Tools

    Get Citation

    Copy Citation Text

    Dongdong Huo, Haishun Du. Cross-Modal Person Re-Identification Based on Channel Reorganization and Attention Mechanism[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410007

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jun. 15, 2022

    Accepted: Aug. 29, 2022

    Published Online: Jul. 17, 2023

    The Author Email: Du Haishun (jddhs@henu.edu.cn)

    DOI:10.3788/LOP221850

    Topics