{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T20:06:51Z","timestamp":1767211611853,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":30,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819709021"},{"type":"electronic","value":"9789819709038"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-0903-8_10","type":"book-chapter","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T11:02:50Z","timestamp":1709204570000},"page":"89-100","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improved ConvNeXt Facial Expression Recognition Embedded with Attention Mechanism"],"prefix":"10.1007","author":[{"given":"Yiteng","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Lina","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Gaoxiang","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Teng","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,1]]},"reference":[{"issue":"6","key":"10_CR1","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.jksuci.2018.09.002","volume":"33","author":"I Michael Revina","year":"2021","unstructured":"Michael Revina, I., Sam Emmanuel, W.R.: A survey on human face expression recognition techniques. J. King Saud Univ. Comput. Inform. Sci. 33(6), 619\u2013628 (2021). https:\/\/doi.org\/10.1016\/j.jksuci.2018.09.002","journal-title":"J. King Saud Univ. Comput. Inform. Sci."},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Xi, Z., et al.: Facial expression recognition of industrial internet of things by parallel neural networks combining texture features. IEEE Trans. Indust. Inform. 17(4), 2784\u20132793 (2020)","DOI":"10.1109\/TII.2020.3007629"},{"key":"10_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s10044-006-0033-y","volume":"9","author":"L Shen","year":"2006","unstructured":"Shen, L., Bai, L.: A review on gabor wavelets for face recognition. Pattern Anal. Appl. 9, 273\u2013292 (2006)","journal-title":"Pattern Anal. Appl."},{"issue":"6","key":"10_CR4","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1109\/TPAMI.2007.1110","volume":"29","author":"G Zhao","year":"2007","unstructured":"Zhao, G., Pietikainen, M.: Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 915\u2013928 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: Feature fusion of HOG and WLD for facial expression recognition. In: Proceedings of the 2013 IEEE\/SICE International Symposium on System Integration, pp. 227\u2013332. IEEE (2013)","DOI":"10.1109\/SII.2013.6776664"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Luo, Y., et al.: Facial expression recognition based on fusion feature of PCA and LBP with SVM. Optik-Int. J. Light Electron Opt. 124(17), 2767\u20132770 (2013)","DOI":"10.1016\/j.ijleo.2012.08.040"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Dino, H.I., Maiwan, B.A.: Facial expression classification based on SVM, KNN and MLP classifiers. In: 2019 International Conference on Advanced Science and Engineering (ICOASE), pp. 70\u201375. IEEE (2019)","DOI":"10.1109\/ICOASE.2019.8723728"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Krizhevsky, A., et al.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","DOI":"10.1145\/3065386"},{"key":"10_CR9","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: 3rd International Conference on Learning Representations (ICLR 2015), Computational and Biological Learning Society (2015)"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Tureke, Y., Xu, W., Zhao, J.: AlexNet based facial expression classification. In: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022). SPIE, vol. 12287, pp. 521\u2013527 (2022)","DOI":"10.1117\/12.2640975"},{"key":"10_CR13","doi-asserted-by":"publisher","unstructured":"Kusuma, G.P., et al.: Emotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16. Adv. Sci. Technol. Eng. Syst. J. 5(6), 315\u2013322 (2020). DOI.org (Crossref), https:\/\/doi.org\/10.25046\/aj050638","DOI":"10.25046\/aj050638"},{"key":"10_CR14","doi-asserted-by":"publisher","unstructured":"Gu, S., et al.: Facial expression recognition based on global and local feature fusion with CNNs. In: 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1\u20135. IEEE (2019). DOI.org (Crossref). https:\/\/doi.org\/10.1109\/ICSPCC46631.2019.8960765","DOI":"10.1109\/ICSPCC46631.2019.8960765"},{"key":"10_CR15","unstructured":"Vaswani, A., et al.: Attention Is All You Need. Adv. Neural Inform. Process. Syst. 30 (2017)"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Tian, C., et al.: Attention-Guided CNN for Image Denoising. Neural Networks 124, 117\u2013129 (2020)","DOI":"10.1016\/j.neunet.2019.12.024"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: ECA-ConvNeXt: a rice leaf disease identification model based on ConvNeXt. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6234\u20136242 (2023)","DOI":"10.1109\/CVPRW59228.2023.00663"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Woo, S., et al.: Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Hu, J., et al.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: A Convnet for the 2020s. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11976\u201311986 (2022)","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Swin transformer: hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Niu, S., et al.: A decade survey of transfer learning (2010\u20132020). IEEE Trans. Artific. Intell. 1(2), 151\u201366 (2020)","DOI":"10.1109\/TAI.2021.3054609"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Yuan, L., et al.: Revisiting knowledge distillation via label smoothing regularization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3903\u201311 (2020)","DOI":"10.1109\/CVPR42600.2020.00396"},{"key":"10_CR24","unstructured":"Loshchilov, I., Frank H.. Fixing Weight Decay Regularization in Adam (2018)"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Han, B., et al.: Masked FER-2013: augmented dataset for facial expression recognition. In: 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 747\u201348. IEEE (2023)","DOI":"10.1109\/VRW58643.2023.00216"},{"key":"10_CR26","doi-asserted-by":"publisher","unstructured":"Moutan, M., et al.: A deep-learning-based facial expression recognition method using textural features. Neural Comput. Appl. 35(9), 6499\u20136514 (2023). Springer Link. https:\/\/doi.org\/10.1007\/s00521-022-08005-7","DOI":"10.1007\/s00521-022-08005-7"},{"key":"10_CR27","doi-asserted-by":"publisher","unstructured":"Shervin, M., et al.: Deep-emotion: facial expression recognition using attentional convolutional network. Sensors 21(9), 3046 (2021). DOI.org (Crossref). https:\/\/doi.org\/10.3390\/s21093046","DOI":"10.3390\/s21093046"},{"key":"10_CR28","unstructured":"Chen, J., et al.: Facial expression recognition based on the ensemble learning of CNNs. In: 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1\u20135. IEEE (2020). Google Scholar. https:\/\/ieeexplore.ieee.org\/abstract\/document\/9259543\/"},{"key":"10_CR29","doi-asserted-by":"crossref","unstructured":"Xie, W., et al.: Adaptive weighting of handcrafted feature losses for facial expression recognition. IEEE Trans. Cybern. 51(5), 2787\u20132800 (2019)","DOI":"10.1109\/TCYB.2019.2925095"},{"key":"10_CR30","doi-asserted-by":"publisher","unstructured":"Chen, Y., Hu, H.: Facial expression recognition by inter-class relational learning. IEEE Access 7, 94106\u201394117 (2019). DOI.org (Crossref). https:\/\/doi.org\/10.1109\/ACCESS.2019.2928983","DOI":"10.1109\/ACCESS.2019.2928983"}],"container-title":["Communications in Computer and Information Science","Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0903-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T11:13:07Z","timestamp":1709205187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0903-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819709021","9789819709038"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0903-8_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applied Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanning","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icai12023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icai.org.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}