{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T12:18:36Z","timestamp":1781007516328,"version":"3.54.1"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s00138-024-01646-9","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T08:31:50Z","timestamp":1736411510000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Attention-enhanced feature mapping network for visible-infrared person re-identification"],"prefix":"10.1007","volume":"36","author":[{"given":"Shuaiyi","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"issue":"4","key":"1646_CR1","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1109\/TCSVT.2019.2898940","volume":"30","author":"Q Leng","year":"2019","unstructured":"Leng, Q., Ye, M., Tian, Q.: A survey of open-world person re-identification. IEEE Trans. Circuits Syst. Video Technol. 30(4), 1092\u20131108 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"6","key":"1646_CR2","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","volume":"44","author":"M Ye","year":"2021","unstructured":"Ye, M., Shen, J., Lin, G., Xiang, T., Shao, L., Hoi, S.C.: Deep learning for person re-identification: a survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 2872\u20132893 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"1646_CR3","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1504\/IJCAT.2022.126880","volume":"69","author":"L Liu","year":"2022","unstructured":"Liu, L., Li, X., Lei, X.: A brief survey for person re-identification based on deep learning. Int. J. Comput. Appl. Technol. 69(2), 101\u2013111 (2022)","journal-title":"Int. J. Comput. Appl. Technol."},{"issue":"4","key":"1646_CR4","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.imavis.2014.02.001","volume":"32","author":"A Bedagkar-Gala","year":"2014","unstructured":"Bedagkar-Gala, A., Shah, S.K.: A survey of approaches and trends in person re-identification. Image Vis. Comput. 32(4), 270\u2013286 (2014)","journal-title":"Image Vis. Comput."},{"issue":"11","key":"1646_CR5","doi-asserted-by":"publisher","first-page":"15747","DOI":"10.1007\/s11042-022-12585-w","volume":"81","author":"NK Singh","year":"2022","unstructured":"Singh, N.K., Khare, M., Jethva, H.B.: A comprehensive survey on person re-identification approaches: various aspects. Multimed. Tools Appl. 81(11), 15747\u201315791 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"1646_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109669","volume":"142","author":"A Zahra","year":"2023","unstructured":"Zahra, A., Perwaiz, N., Shahzad, M., Fraz, M.M.: Person re-identification: a retrospective on domain specific open challenges and future trends. Pattern Recogn. 142, 109669 (2023)","journal-title":"Pattern Recogn."},{"issue":"3","key":"1646_CR7","doi-asserted-by":"publisher","first-page":"454","DOI":"10.3390\/electronics11030454","volume":"11","author":"H Zheng","year":"2022","unstructured":"Zheng, H., Zhong, X., Huang, W., Jiang, K., Liu, W., Wang, Z.: Visible-infrared person re-identification: a comprehensive survey and a new setting. Electronics 11(3), 454 (2022)","journal-title":"Electronics"},{"key":"1646_CR8","doi-asserted-by":"publisher","DOI":"10.32604\/jnm.2023.038580","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y.: Review of visible-infrared cross-modality person re-identification. J. New Media (2023). https:\/\/doi.org\/10.32604\/jnm.2023.038580","journal-title":"J. New Media"},{"key":"1646_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-024-19196-7","author":"H Chang","year":"2024","unstructured":"Chang, H., Xu, X., Liu, W., Lu, L., Li, W.: A comprehensive survey of visible infrared person re-identification from an application perspective. Multimed. Tools Appl. (2024). https:\/\/doi.org\/10.1007\/s11042-024-19196-7","journal-title":"Multimed. Tools Appl."},{"key":"1646_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2019.100004","volume":"3","author":"T Zhou","year":"2019","unstructured":"Zhou, T., Ruan, S., Canu, S.: A review: deep learning for medical image segmentation using multi-modality fusion. Array 3, 100004 (2019)","journal-title":"Array"},{"issue":"3","key":"1646_CR11","first-page":"3200","volume":"45","author":"Z Sun","year":"2022","unstructured":"Sun, Z., Ke, Q., Rahmani, H., Bennamoun, M., Wang, G., Liu, J.: Human action recognition from various data modalities: a review. IEEE Trans. Pattern Anal. Mach. Intell. 45(3), 3200\u20133225 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1646_CR12","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.inffus.2022.10.024","volume":"91","author":"N Huang","year":"2023","unstructured":"Huang, N., Liu, J., Miao, Y., Zhang, Q., Han, J.: Deep learning for visible-infrared cross-modality person re-identification: a comprehensive review. Inf. Fusion 91, 396\u2013411 (2023)","journal-title":"Inf. Fusion"},{"key":"1646_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, C., Liu, H., Guo, W., Ye, M.: Multi-scale cascading network with compact feature learning for rgb-infrared person re-identification. In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 8679\u20138686. IEEE (2021)","DOI":"10.1109\/ICPR48806.2021.9412576"},{"key":"1646_CR14","doi-asserted-by":"crossref","unstructured":"Wu, Q., Dai, P., Chen, J., Lin, C.-W., Wu, Y., Huang, F., Zhong, B., Ji, R.: Discover cross-modality nuances for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4330\u20134339 (2021)","DOI":"10.1109\/CVPR46437.2021.00431"},{"key":"1646_CR15","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.neucom.2021.04.080","volume":"452","author":"J Zhang","year":"2021","unstructured":"Zhang, J., Li, X., Chen, C., Qi, M., Wu, J., Jiang, J.: Global-local graph convolutional network for cross-modality person re-identification. Neurocomputing 452, 137\u2013146 (2021)","journal-title":"Neurocomputing"},{"key":"1646_CR16","doi-asserted-by":"crossref","unstructured":"Ye, M., Wang, Z., Lan, X., Yuen, P.C.: Visible thermal person re-identification via dual-constrained top-ranking. In: IJCAI, vol. 1, p. 2 (2018)","DOI":"10.24963\/ijcai.2018\/152"},{"key":"1646_CR17","doi-asserted-by":"crossref","unstructured":"Hao, Y., Wang, N., Li, J., Gao, X.: Hsme: hypersphere manifold embedding for visible thermal person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 8385\u20138392 (2019)","DOI":"10.1609\/aaai.v33i01.33018385"},{"key":"1646_CR18","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neucom.2019.12.100","volume":"386","author":"Y Zhu","year":"2020","unstructured":"Zhu, Y., Yang, Z., Wang, L., Zhao, S., Hu, X., Tao, D.: Hetero-center loss for cross-modality person re-identification. Neurocomputing 386, 97\u2013109 (2020)","journal-title":"Neurocomputing"},{"key":"1646_CR19","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017). https:\/\/proceedings.neurips.cc\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"issue":"23","key":"1646_CR20","doi-asserted-by":"publisher","first-page":"11706","DOI":"10.1109\/JSEN.2019.2936916","volume":"19","author":"X Xiang","year":"2019","unstructured":"Xiang, X., Lv, N., Yu, Z., Zhai, M., El Saddik, A.: Cross-modality person re-identification based on dual-path multi-branch network. IEEE Sens. J. 19(23), 11706\u201311713 (2019)","journal-title":"IEEE Sens. J."},{"key":"1646_CR21","doi-asserted-by":"publisher","first-page":"12824","DOI":"10.1109\/ACCESS.2020.2966002","volume":"8","author":"D Cheng","year":"2020","unstructured":"Cheng, D., Li, X., Qi, M., Liu, X., Chen, C., Niu, D.: Exploring cross-modality commonalities via dual-stream multi-branch network for infrared-visible person re-identification. IEEE Access 8, 12824\u201312834 (2020)","journal-title":"IEEE Access"},{"issue":"20","key":"1646_CR22","doi-asserted-by":"publisher","first-page":"15170","DOI":"10.1109\/JIOT.2020.3038794","volume":"8","author":"S Liu","year":"2020","unstructured":"Liu, S., Zhang, J.: Local alignment deep network for infrared-visible cross-modal person reidentification in 6g-enabled internet of things. IEEE Internet Things J. 8(20), 15170\u201315179 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"9","key":"1646_CR23","doi-asserted-by":"publisher","first-page":"4676","DOI":"10.1109\/TNNLS.2021.3059713","volume":"33","author":"Z Wei","year":"2021","unstructured":"Wei, Z., Yang, X., Wang, N., Gao, X.: Flexible body partition-based adversarial learning for visible infrared person re-identification. IEEE Trans. Neural Netw. Learn. Syst. 33(9), 4676\u20134687 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1646_CR24","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1109\/LSP.2021.3065903","volume":"28","author":"H Liu","year":"2021","unstructured":"Liu, H., Chai, Y., Tan, X., Li, D., Zhou, X.: Strong but simple baseline with dual-granularity triplet loss for visible-thermal person re-identification. IEEE Signal Process. Lett. 28, 653\u2013657 (2021)","journal-title":"IEEE Signal Process. Lett."},{"key":"1646_CR25","doi-asserted-by":"crossref","unstructured":"Park, H., Lee, S., Lee, J., Ham, B.: Learning by aligning: visible-infrared person re-identification using cross-modal correspondences. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12046\u201312055 (2021)","DOI":"10.1109\/ICCV48922.2021.01183"},{"key":"1646_CR26","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neucom.2020.01.089","volume":"398","author":"H Liu","year":"2020","unstructured":"Liu, H., Cheng, J., Wang, W., Su, Y., Bai, H.: Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. Neurocomputing 398, 11\u201319 (2020)","journal-title":"Neurocomputing"},{"key":"1646_CR27","doi-asserted-by":"crossref","unstructured":"Chen, K., Pan, Z., Wang, J., Jiao, S., Zeng, Z., Miao, Z.: Joint feature learning network for visible-infrared person re-identification. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 652\u2013663. Springer (2020)","DOI":"10.1007\/978-3-030-60639-8_54"},{"key":"1646_CR28","doi-asserted-by":"publisher","first-page":"6951","DOI":"10.1109\/TIP.2022.3217697","volume":"31","author":"X Zheng","year":"2022","unstructured":"Zheng, X., Chen, X., Lu, X.: Visible-infrared person re-identification via partially interactive collaboration. IEEE Trans. Image Process. 31, 6951\u20136963 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"1646_CR29","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1642\/1\/012015","volume":"1642","author":"Y Li","year":"2020","unstructured":"Li, Y., Xu, H.: Deep attention network for rgb-infrared cross-modality person re-identification. J. Phys. Conf. Ser. 1642, 012015 (2020)","journal-title":"J. Phys. Conf. Ser."},{"key":"1646_CR30","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Li, X., Xiao, G., Ma, W., Gou, X.: Dual-path deep supervision network with self-attention for visible-infrared person re-identification. In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20135. IEEE (2021)","DOI":"10.1109\/ISCAS51556.2021.9401292"},{"key":"1646_CR31","doi-asserted-by":"crossref","unstructured":"Wu, Y., Wan, S., Wu, D., Wang, C., Yuan, C., Qin, X., Wu, H., Zhao, X.: Position attention-guided learning for infrared-visible person re-identification. In: Intelligent Computing Theories and Application: 16th International Conference, ICIC 2020, Bari, Italy, October 2\u20135, 2020, Proceedings, Part I 16, pp. 387\u2013397. Springer (2020)","DOI":"10.1007\/978-3-030-60799-9_34"},{"key":"1646_CR32","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.neucom.2020.03.109","volume":"406","author":"J Jiang","year":"2020","unstructured":"Jiang, J., Jin, K., Qi, M., Wang, Q., Wu, J., Chen, C.: A cross-modal multi-granularity attention network for rgb-ir person re-identification. Neurocomputing 406, 59\u201367 (2020)","journal-title":"Neurocomputing"},{"key":"1646_CR33","doi-asserted-by":"crossref","unstructured":"Wei, X., Li, D., Hong, X., Ke, W., Gong, Y.: Co-attentive lifting for infrared-visible person re-identification. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 1028\u20131037 (2020)","DOI":"10.1145\/3394171.3413933"},{"key":"1646_CR34","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1109\/TMM.2022.3229969","volume":"25","author":"Y Feng","year":"2022","unstructured":"Feng, Y., Ji, Y., Wu, F., Gao, G., Gao, Y., Liu, T., Liu, S., Jing, X.-Y., Luo, J.: Occluded visible-infrared person re-identification. IEEE Trans. Multimed. 25, 1401\u20131413 (2022)","journal-title":"IEEE Trans. Multimed."},{"key":"1646_CR35","doi-asserted-by":"crossref","unstructured":"Ye, M., Shen, J., J.\u00a0Crandall, D., Shao, L., Luo, J.: Dynamic dual-attentive aggregation learning for visible-infrared person re-identification. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XVII 16, pp. 229\u2013247. Springer (2020)","DOI":"10.1007\/978-3-030-58520-4_14"},{"key":"1646_CR36","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1109\/LSP.2021.3093865","volume":"28","author":"Y Feng","year":"2021","unstructured":"Feng, Y., Chen, F., Ji, Y.-M., Wu, F., Sun, J.: Efficient cross-modality graph reasoning for rgb-infrared person re-identification. IEEE Signal Process. Lett. 28, 1425\u20131429 (2021)","journal-title":"IEEE Signal Process. Lett."},{"key":"1646_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104791","volume":"138","author":"J Zhao","year":"2023","unstructured":"Zhao, J., Wang, H., Zhou, Y., Yao, R., Zhang, L., El Saddik, A.: Context-aware and part alignment for visible-infrared person re-identification. Image Vis. Comput. 138, 104791 (2023)","journal-title":"Image Vis. Comput."},{"key":"1646_CR38","unstructured":"Hermans, A., Beyer, L., Leibe, B.: In defense of the triplet loss for person re-identification. arXiv:1703.07737 (2017) arXiv:1703.07737"},{"key":"1646_CR39","doi-asserted-by":"crossref","unstructured":"Wang, J., Jiao, S., Li, Y., Miao, Z.: Two-stage metric learning for cross-modality person re-identification. In: Proceedings of the 5th International Conference on Multimedia and Image Processing, pp. 28\u201332 (2020)","DOI":"10.1145\/3381271.3381285"},{"key":"1646_CR40","doi-asserted-by":"crossref","unstructured":"Li, X., Lu, Y., Liu, B., Liu, Y., Yin, G., Chu, Q., Huang, J., Zhu, F., Zhao, R., Yu, N.: Counterfactual intervention feature transfer for visible-infrared person re-identification. In: European Conference on Computer Vision, pp. 381\u2013398. Springer (2022)","DOI":"10.1007\/978-3-031-19809-0_22"},{"key":"1646_CR41","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., He, K.: Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7794\u20137803 (2018)","DOI":"10.1109\/CVPR.2018.00813"},{"issue":"325","key":"1646_CR42","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1080\/01621459.1969.10500963","volume":"64","author":"RJ Connor","year":"1969","unstructured":"Connor, R.J., Mosimann, J.E.: Concepts of independence for proportions with a generalization of the Dirichlet distribution. J. Am. Stat. Assoc. 64(325), 194\u2013206 (1969)","journal-title":"J. Am. Stat. Assoc."},{"key":"1646_CR43","doi-asserted-by":"crossref","unstructured":"Luo, H., Gu, Y., Liao, X., Lai, S., Jiang, W.: Bag of tricks and a strong baseline for deep person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0\u20130 (2019)","DOI":"10.1109\/CVPRW.2019.00190"},{"issue":"6","key":"1646_CR44","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1007\/s11263-019-01290-1","volume":"128","author":"A Wu","year":"2020","unstructured":"Wu, A., Zheng, W.-S., Gong, S., Lai, J.: Rgb-ir person re-identification by cross-modality similarity preservation. Int. J. Comput. Vis. 128(6), 1765\u20131785 (2020)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"1646_CR45","doi-asserted-by":"publisher","first-page":"605","DOI":"10.3390\/s17030605","volume":"17","author":"DT Nguyen","year":"2017","unstructured":"Nguyen, D.T., Hong, H.G., Kim, K.W., Park, K.R.: Person recognition system based on a combination of body images from visible light and thermal cameras. Sensors 17(3), 605 (2017)","journal-title":"Sensors"},{"key":"1646_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Wang, H.: Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2153\u20132162 (2023)","DOI":"10.1109\/CVPR52729.2023.00214"},{"key":"1646_CR47","unstructured":"Loshchilov, I., Hutter, F., et al.: Fixing weight decay regularization in adam. 5 (2017) arXiv:1711.05101"},{"key":"1646_CR48","doi-asserted-by":"crossref","unstructured":"Wang, G., Zhang, T., Cheng, J., Liu, S., Yang, Y., Hou, Z.: Rgb-infrared cross-modality person re-identification via joint pixel and feature alignment. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3623\u20133632 (2019)","DOI":"10.1109\/ICCV.2019.00372"},{"key":"1646_CR49","doi-asserted-by":"crossref","unstructured":"Lu, Y., Wu, Y., Liu, B., Zhang, T., Li, B., Chu, Q., Yu, N.: Cross-modality person re-identification with shared-specific feature transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13379\u201313389 (2020)","DOI":"10.1109\/CVPR42600.2020.01339"},{"key":"1646_CR50","doi-asserted-by":"publisher","first-page":"8432","DOI":"10.1109\/TMM.2023.3237155","volume":"25","author":"T Liang","year":"2023","unstructured":"Liang, T., Jin, Y., Liu, W., Li, Y.: Cross-modality transformer with modality mining for visible-infrared person re-identification. IEEE Trans. Multimed. 25, 8432\u20138444 (2023)","journal-title":"IEEE Trans. Multimed."},{"key":"1646_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Lai, C., Liu, J., Huang, N., Han, J.: Fmcnet: feature-level modality compensation for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7349\u20137358 (2022)","DOI":"10.1109\/CVPR52688.2022.00720"},{"key":"1646_CR52","doi-asserted-by":"crossref","unstructured":"Lu, H., Zou, X., Zhang, P.: Learning progressive modality-shared transformers for effective visible-infrared person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 1835\u20131843 (2023)","DOI":"10.1609\/aaai.v37i2.25273"},{"key":"1646_CR53","doi-asserted-by":"crossref","unstructured":"Yang, M., Huang, Z., Hu, P., Li, T., Lv, J., Peng, X.: Learning with twin noisy labels for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14308\u201314317 (2022)","DOI":"10.1109\/CVPR52688.2022.01391"},{"key":"1646_CR54","doi-asserted-by":"publisher","first-page":"2186","DOI":"10.1109\/TIFS.2023.3344289","volume":"19","author":"Z Wei","year":"2023","unstructured":"Wei, Z., Yang, X., Wang, N., Gao, X.: Dual-adversarial representation disentanglement for visible infrared person re-identification. IEEE Trans. Inf. Forensics Secur. 19, 2186\u20132200 (2023)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"1646_CR55","doi-asserted-by":"crossref","unstructured":"Ye, M., Ruan, W., Du, B., Shou, M.Z.: Channel augmented joint learning for visible-infrared recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13567\u201313576 (2021)","DOI":"10.1109\/ICCV48922.2021.01331"},{"key":"1646_CR56","doi-asserted-by":"crossref","unstructured":"Sun, H., Liu, J., Zhang, Z., Wang, C., Qu, Y., Xie, Y., Ma, L.: Not all pixels are matched: dense contrastive learning for cross-modality person re-identification. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 5333\u20135341 (2022)","DOI":"10.1145\/3503161.3547970"},{"issue":"1","key":"1646_CR57","first-page":"1","volume":"20","author":"C Li","year":"2023","unstructured":"Li, C., Li, Z., Sun, J., Zhang, Y., Jiang, X., Zhang, F.: Dynamic weighted gradient reversal network for visible-infrared person re-identification. ACM Trans. Multimed. Comput. Commun. Appl. 20(1), 1\u201323 (2023)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"issue":"4","key":"1646_CR58","doi-asserted-by":"publisher","first-page":"2299","DOI":"10.1109\/TPAMI.2023.3332875","volume":"46","author":"M Ye","year":"2023","unstructured":"Ye, M., Wu, Z., Chen, C., Du, B.: Channel augmentation for visible-infrared re-identification. IEEE Trans. Pattern Anal. Mach. Intell. 46(4), 2299\u20132315 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1646_CR59","doi-asserted-by":"crossref","unstructured":"Liu, J., Sun, Y., Zhu, F., Pei, H., Yang, Y., Li, W.: Learning memory-augmented unidirectional metrics for cross-modality person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19366\u201319375 (2022)","DOI":"10.1109\/CVPR52688.2022.01876"},{"key":"1646_CR60","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yan, Y., Lu, Y., Wang, H.: Towards a unified middle modality learning for visible-infrared person re-identification. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 788\u2013796 (2021)","DOI":"10.1145\/3474085.3475250"},{"issue":"11","key":"1646_CR61","first-page":"2579","volume":"9","author":"L Maaten","year":"2008","unstructured":"Maaten, L., Hinton, G.: Visualizing data using t-sne. J. Mach. Learn. Res. 9(11), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"1646_CR62","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1109\/TCSVT.2022.3215979","volume":"33","author":"G Chen","year":"2022","unstructured":"Chen, G., Shao, F., Chai, X., Chen, H., Jiang, Q., Meng, X., Ho, Y.-S.: Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection. IEEE Trans. Circuits Syst. Video Technol. 33(4), 1787\u20131801 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"9","key":"1646_CR63","doi-asserted-by":"publisher","first-page":"6308","DOI":"10.1109\/TCSVT.2022.3166914","volume":"32","author":"G Chen","year":"2022","unstructured":"Chen, G., Shao, F., Chai, X., Chen, H., Jiang, Q., Meng, X., Ho, Y.-S.: Cgmdrnet: cross-guided modality difference reduction network for rgb-t salient object detection. IEEE Trans. Circuits Syst. Video Technol. 32(9), 6308\u20136323 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1646_CR64","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3423830","author":"X Chai","year":"2024","unstructured":"Chai, X., Shao, F.: Ms-pcqe: Efficient no-reference point cloud quality evaluation via multi-scale interaction module in immersive communications. IEEE Trans. Consum. Electron. (2024). https:\/\/doi.org\/10.1109\/TCE.2024.3423830","journal-title":"IEEE Trans. Consum. Electron."}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-024-01646-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-024-01646-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-024-01646-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T04:19:20Z","timestamp":1741839560000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-024-01646-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,9]]},"references-count":64,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["1646"],"URL":"https:\/\/doi.org\/10.1007\/s00138-024-01646-9","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,9]]},"assertion":[{"value":"25 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"31"}}