{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:15Z","timestamp":1755907695694,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,24]]},"DOI":"10.1145\/3630138.3630529","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T02:04:17Z","timestamp":1705543457000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Uncovering Self-Supervised Learning: From Current Applications to Future Trends"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2632-2109","authenticated-orcid":false,"given":"Pan","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangxi University of Science and Technology, College of Automation, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8571-4018","authenticated-orcid":false,"given":"Qiwen","family":"He","sequence":"additional","affiliation":[{"name":"Hechi University, College of Artificial Intelligence and Manufacturing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5878-3129","authenticated-orcid":false,"given":"Xiaofei","family":"Ai","sequence":"additional","affiliation":[{"name":"Guangxi University of Science and Technology, College of Automation, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7389-9516","authenticated-orcid":false,"given":"Fuxing","family":"Ma","sequence":"additional","affiliation":[{"name":"Guangxi University of Science and Technology, College of Automation, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Learned-Miller E G. 2014. Introduction to supervised learning [J]. I: Department of Computer Science University of Massachusetts 3."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.20544\/HORIZONS.B.04.1.17.P05"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9010002"},{"issue":"1","key":"e_1_3_2_1_4_1","first-page":"857","article-title":"Self-supervised learning: Generative or contrastive [J]","volume":"35","author":"Liu X","year":"2021","unstructured":"Liu X, Zhang F and Hou Z, 2021. Self-supervised learning: Generative or contrastive [J]. IEEE Transactions on Knowledge and Data Engineering 35, 1, 857-876.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_5_1","volume-title":"Caron M and Lefaudeux B","author":"Goyal P","year":"2021","unstructured":"Goyal P, Caron M and Lefaudeux B, 2021. Self-supervised pretraining of visual features in the wild [J]. arXiv Preprint arXiv:2103.01988."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_7_1","volume-title":"He K and Girshick R","author":"Ren S","year":"2015","unstructured":"Ren S, He K and Girshick R, 2015. Faster r-cnn: Towards real-time object detection with region proposal networks [J]. Advances in Neural Information Processing Systems 28."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3068344"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00112"},{"issue":"4","key":"e_1_3_2_1_10_1","first-page":"4071","article-title":"A survey of self-supervised and few-shot object detection [J]","volume":"45","author":"Huang G","year":"2022","unstructured":"Huang G, Laradji I and Vazquez D, 2022. A survey of self-supervised and few-shot object detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 45, 4, 4071-4089.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/e24040551"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_1_13_1","first-page":"3686","article-title":"Deep reinforcement and infomax learning [J]","volume":"33","author":"Mazoure B","year":"2020","unstructured":"Mazoure B, Tachet des Combes R and Doan T L, 2020. Deep reinforcement and infomax learning [J]. Advances in Neural Information Processing Systems 33, 3686-3698.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","volume-title":"Li Y and Vinyals O","author":"Oord A","year":"2018","unstructured":"Oord A, Li Y and Vinyals O. 2018. Representation learning with contrastive predictive coding [J]. arXiv preprint arXiv:1807.03748."},{"key":"e_1_3_2_1_15_1","first-page":"1597","volume-title":"International Conference on Machine Learning. PMLR","author":"Chen T","year":"2020","unstructured":"Chen T, Kornblith S and Norouzi M, 2020. A simple framework for contrastive learning of visual representations [C]. International Conference on Machine Learning. PMLR, pp. 1597-1607."},{"key":"e_1_3_2_1_16_1","volume-title":"Chang M W and Lee K","author":"Devlin J","year":"2018","unstructured":"Devlin J, Chang M W and Lee K, 2018. Bert: Pre-training of deep bidirectional transformers for language understanding [J]. arXiv Preprint arXiv:1810.04805."},{"key":"e_1_3_2_1_17_1","volume-title":"Narasimhan K and Salimans T","author":"Radford A","year":"2018","unstructured":"Radford A, Narasimhan K and Salimans T, 2018. Improving language understanding by generative pre-training [J]."},{"key":"e_1_3_2_1_18_1","first-page":"8","article-title":"Language models are unsupervised multitask learners [J]","volume":"1","author":"Radford A","year":"2019","unstructured":"Radford A, Wu J and Child R, 2019. Language models are unsupervised multitask learners [J]. OpenAI Blog 1, 8, 9.","journal-title":"OpenAI Blog"},{"key":"e_1_3_2_1_19_1","first-page":"1877","article-title":"Language models are few-shot learners [J]","volume":"33","author":"Brown T","year":"2020","unstructured":"Brown T, Mann B and Ryder N, 2020. Language models are few-shot learners [J]. Advances in Neural Information Processing Systems 33, 1877-1901.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_20_1","volume-title":"Li C and He P","author":"Peng B","year":"2023","unstructured":"Peng B, Li C and He P, 2023. Instruction tuning with gpt-4 [J]. arXiv Preprint arXiv:2304.03277."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"e_1_3_2_1_22_1","first-page":"6707","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Misra I","unstructured":"Misra I and Maaten L. 2020. Self-supervised learning of pretext-invariant representations [C]. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6707-6717."},{"key":"e_1_3_2_1_23_1","volume-title":"Fan H and Girshick R","author":"Chen X","year":"2020","unstructured":"Chen X, Fan H and Girshick R, 2020. Improved baselines with momentum contrastive learning [J]. arXiv Preprint arXiv:2003.04297."},{"key":"e_1_3_2_1_24_1","volume-title":"Xie S and He K","author":"Chen X","year":"2021","unstructured":"Chen X, Xie S and He K. 2021. An empirical study of training self-supervised visual transformers. [J]. arXiv Preprint arXiv:2104.02057."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2934760"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab083"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00300"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17289"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103477"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab016"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449974"},{"key":"e_1_3_2_1_32_1","first-page":"1825","volume-title":"International Conference on Machine Learning. PMLR","author":"Cheng Y","year":"2021","unstructured":"Cheng Y, Wang W and Jiang L, 2021. Self-supervised and supervised joint training for resource-rich machine translation [C]. International Conference on Machine Learning. PMLR, pp. 1825-1835."},{"key":"e_1_3_2_1_33_1","volume-title":"Gokhale T and Baral C","author":"Banerjee P","year":"2021","unstructured":"Banerjee P, Gokhale T and Baral C. 2021. Self-supervised test-time learning for reading comprehension [J]. arXiv Preprint arXiv:2103.11263."},{"key":"e_1_3_2_1_34_1","first-page":"1422","volume-title":"Proceedings of the IEEE international conference on computer vision","author":"Doersch C","unstructured":"Doersch C, Gupta A and Efros A A. 2015. Unsupervised visual representation learning by context prediction [C]. Proceedings of the IEEE international conference on computer vision, pp. 1422-1430."},{"key":"e_1_3_2_1_35_1","first-page":"69","volume-title":"European Conference on Computer Vision. Cham: Springer International Publishing","author":"Noroozi M","unstructured":"Noroozi M and Favaro P. 2016. Unsupervised learning of visual representations by solving jigsaw puzzles [C]. European Conference on Computer Vision. Cham: Springer International Publishing, pp. 69-84."},{"key":"e_1_3_2_1_36_1","volume-title":"Singh P and Komodakis N","author":"Gidaris S","year":"2018","unstructured":"Gidaris S, Singh P and Komodakis N. 2018. Unsupervised representation learning by predicting image rotations [J]. arXiv Preprint arXiv:1803.07728."},{"key":"e_1_3_2_1_37_1","first-page":"2794","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"Wang X","unstructured":"Wang X and Gupta A. 2015. Unsupervised learning of visual representations using videos [C]. Proceedings of the IEEE International Conference on Computer Vision, pp. 2794-2802."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462891"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"e_1_3_2_1_40_1","first-page":"649","volume-title":"Isola P and Efros A A","author":"Zhang R","year":"2016","unstructured":"Zhang R, Isola P and Efros A A. 2016. Colorful image colorization [C]. Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III 14. Springer International Publishing, pp. 649-666."},{"key":"e_1_3_2_1_41_1","first-page":"206","volume-title":"2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE","author":"Munir F","unstructured":"Munir F, Azam S and Jeon M. 2021. Sstn: Self-supervised domain adaptation thermal object detection for autonomous driving [C]. 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, pp. 206-213."},{"key":"e_1_3_2_1_42_1","first-page":"4341","volume-title":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE","author":"Shi W","unstructured":"Shi W and Rajkumar R R. 2022. Self-supervised pretraining for point cloud object detection in autonomous driving [C]. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, pp. 4341-4348."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3183931"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-023-02512-3"},{"key":"e_1_3_2_1_45_1","first-page":"2043","volume-title":"2022 IEEE Symposium on Security and Privacy (SP). IEEE","author":"Jia J","unstructured":"Jia J, Liu Y and Gong N Z. 2022. Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning [C]. 2022 IEEE Symposium on Security and Privacy (SP). IEEE, pp. 2043-2059."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909542"},{"key":"e_1_3_2_1_47_1","volume-title":"Mei J and Yu Y","author":"Zhou Y","year":"2023","unstructured":"Zhou Y, Mei J and Yu Y, 2023. Medical visual question answering using joint self-supervised learning [J]. arXiv Preprint arXiv:2302.13069."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101566"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.080"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00318"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3003865"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110578"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3036602"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14133083"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.3390\/math10152796"}],"event":{"name":"PCCNT 2023: 2023 International Conference on Power, Communication, Computing and Networking Technologies","acronym":"PCCNT 2023","location":"Wuhan China"},"container-title":["2023 International Conference on Power Communication Computing and Networking Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630138.3630529","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3630138.3630529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T17:11:02Z","timestamp":1755882662000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630138.3630529"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,24]]},"references-count":55,"alternative-id":["10.1145\/3630138.3630529","10.1145\/3630138"],"URL":"https:\/\/doi.org\/10.1145\/3630138.3630529","relation":{},"subject":[],"published":{"date-parts":[[2023,9,24]]},"assertion":[{"value":"2024-01-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}