{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:48:20Z","timestamp":1755802100163,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"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":[[2023,10,20]]},"DOI":"10.1145\/3650400.3650470","type":"proceedings-article","created":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T08:33:18Z","timestamp":1713342798000},"page":"429-433","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-time road scene segmentation based on knowledge distillation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-3342-8666","authenticated-orcid":false,"given":"Wenting","family":"Li","sequence":"first","affiliation":[{"name":"College of Electrical Engineering, Anhui Polytechnic University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5996-503X","authenticated-orcid":false,"given":"Huicheng","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Anhui Polytechnic University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9332-7528","authenticated-orcid":false,"given":"Yaocong","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Anhui Polytechnic University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5727-6660","authenticated-orcid":false,"given":"Yuanyuan","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Anhui Polytechnic University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6422-4379","authenticated-orcid":false,"given":"Zhen","family":"Shuai","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Anhui Polytechnic University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,4,17]]},"reference":[{"issue":"8","key":"e_1_3_2_1_1_1","first-page":"45","article-title":"A review of image semantic segmentation methods by full convolutional neural networks","volume":"58","author":"Zhang X","year":"2022","unstructured":"Zhang X, Yao Q A, Zhao J, 2022. A review of image semantic segmentation methods by full convolutional neural networks. J. Computer Engineering and Applications, 58(8):45-57.","journal-title":"J. Computer Engineering and Applications"},{"key":"e_1_3_2_1_2_1","volume-title":"A survey on deep learning methods for semantic image segmentation in real-time. J.arXiv","author":"Takos G.","year":"2009","unstructured":"Takos G. 2020. A survey on deep learning methods for semantic image segmentation in real-time. J.arXiv: 2009.12942."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"e_1_3_2_1_4_1","volume-title":"Proc. International Conference on Learning Representations (ICLR): 1\u201314","author":"Simonyan K","year":"2015","unstructured":"Simonyan K, Zisserman A. 2015. Very deep convolutional networks for large-scale image recognition. C. in Proc. International Conference on Learning Representations (ICLR): 1\u201314."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"e_1_3_2_1_6_1","volume-title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. C. International Conference on Learning Representations (ICLR).","author":"Liang-Chieh C","year":"2015","unstructured":"Liang-Chieh C, George P, Iasonas K, 2015. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. C. International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_7_1","unstructured":"Liang-Chieh C George P Iasonas K 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. C. arXiv:1706.05587."},{"issue":"4","key":"e_1_3_2_1_8_1","first-page":"834","article-title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","volume":"40","author":"Liang-Chieh C","year":"2015","unstructured":"Liang-Chieh C, George P, Iasonas K, 2015. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. J. IEEE Computer Society, 40(4): 834-848.","journal-title":"J. IEEE Computer Society"},{"key":"e_1_3_2_1_9_1","unstructured":"Paszke A Chaurasia A Kim S 2016. ENet: A deep neural network architecture for real-time semantic segmentation. J. arXiv:1606.02147."},{"key":"e_1_3_2_1_10_1","article-title":"Real-time semantic image segmentation with deep learning for autonomous driving: A survey","volume":"2021","author":"Papadeas I","year":"2021","unstructured":"Papadeas I, Tsochatzidis L, Amanatiadis A, 2021. Real-time semantic image segmentation with deep learning for autonomous driving: A survey. J. Applied Sciences, 2021, 11(19): 8802.","journal-title":"J. Applied Sciences"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"e_1_3_2_1_12_1","unstructured":"Haochen W Xiaolong J Haibing R 2021. SwiftNet: Real-time video object segmentation. J. arXiv:2102.04604."},{"key":"e_1_3_2_1_13_1","article-title":"FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems. C","volume":"2022","author":"Rosas-Arias L","year":"2011","unstructured":"Rosas-Arias L, Benitez-Garcia G, Portillo-Portillo J, 2011. FASSD-Net: Fast and Accurate Real-Time Semantic Segmentation for Embedded Systems. C .in IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9):14349-1436.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"}],"event":{"name":"EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering","acronym":"EITCE 2023","location":"Xiamen China"},"container-title":["Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3650400.3650470","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3650400.3650470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T05:02:29Z","timestamp":1755752549000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3650400.3650470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"references-count":13,"alternative-id":["10.1145\/3650400.3650470","10.1145\/3650400"],"URL":"https:\/\/doi.org\/10.1145\/3650400.3650470","relation":{},"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"2024-04-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}