{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:59Z","timestamp":1750220699981,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T00:00:00Z","timestamp":1576713600000},"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":[[2019,12,19]]},"DOI":"10.1145\/3371425.3371444","type":"proceedings-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T13:18:36Z","timestamp":1575983916000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Traffic signs recognition using dynamic-scale CNN"],"prefix":"10.1145","author":[{"given":"Qiang","family":"Chen","sequence":"first","affiliation":[{"name":"Donghua University, Shanghai, China"}]},{"given":"Shaoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}]},{"given":"Lirong","family":"Yi","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}]},{"given":"Wenting","family":"Shu","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Shengfutong, Shanghai, China"}]},{"given":"Jue","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Shengfutong, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2019,12,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"e_1_3_2_1_2_1","first-page":"91","volume-title":"International journal of computer vision","author":"Lowe D G","year":"2004"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_2_1_4_1","article-title":"Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network","author":"Luo H","year":"2017","journal-title":"IEEE Transactions on Intelligent Transportation Systems, 1--12."},{"volume-title":"Electronic & Automation Control Conference, IEEE.","year":"2017","author":"Le G","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_7_1","unstructured":"Krizhevsky A Sutskever I and Hinton G (2012). ImageNet Classification with Deep Convolutional Neural Networks. Advances in neural information processing systems 25(2).  Krizhevsky A Sutskever I and Hinton G (2012). ImageNet Classification with Deep Convolutional Neural Networks. Advances in neural information processing systems 25(2)."},{"key":"e_1_3_2_1_8_1","unstructured":"Sermanet P and Lecun Y (2011). IEEE 2011 International Joint Conference on Neural Networks (IJCNN 2011-San Jose) - San Jose CA USA (2011.07.31-2011.08.5). The 2011 International Joint Conference on Neural Networks-Traffic sign recognition with multi-scale Convolutional Networks International Joint Conference on Neural Networks IEEE 2809--2813.  Sermanet P and Lecun Y (2011). IEEE 2011 International Joint Conference on Neural Networks (IJCNN 2011-San Jose) - San Jose CA USA (2011.07.31-2011.08.5). The 2011 International Joint Conference on Neural Networks-Traffic sign recognition with multi-scale Convolutional Networks International Joint Conference on Neural Networks IEEE 2809--2813."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Jain A Mishra A Shukla A etal (2019). A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets. Neural Process Lett.  Jain A Mishra A Shukla A et al. (2019). A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets. Neural Process Lett.","DOI":"10.1007\/s11063-019-09991-x"},{"volume-title":"Design of Lightweight Convolutional Neural Network Based on Dimensionality Reduction Module. 2019 IOP Conf. Ser.: Mater. Sci. Eng, 533 012045","year":"2019","author":"Zhou Yue","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Pinto N Cox D D and DiCarlo J J (2008). Why is real-world visual object recognition hard? PLoS Comput Biol 4(1) e27 01 2008.  Pinto N Cox D D and DiCarlo J J (2008). Why is real-world visual object recognition hard? PLoS Comput Biol 4(1) e27 01 2008.","DOI":"10.1371\/journal.pcbi.0040027"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2017.8001485"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Liu L and Deng J (2017). Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution.  Liu L and Deng J (2017). Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution.","DOI":"10.1609\/aaai.v32i1.11630"},{"key":"e_1_3_2_1_15_1","unstructured":"Su Y Zhou S Wu Y etal (2019). Dynamic Multi-path Neural Network.  Su Y Zhou S Wu Y et al. (2019). Dynamic Multi-path Neural Network."},{"key":"e_1_3_2_1_16_1","unstructured":"Spasov S E and Lio P (2019). Dynamic Neural Network Channel Execution for Efficient Training.  Spasov S E and Lio P (2019). Dynamic Neural Network Channel Execution for Efficient Training."}],"event":{"name":"AIIPCC '19: 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing","sponsor":["ASciE Association for Science and Engineering"],"location":"Sanya China","acronym":"AIIPCC '19"},"container-title":["Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3371425.3371444","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3371425.3371444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:32:53Z","timestamp":1750199573000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3371425.3371444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,19]]},"references-count":16,"alternative-id":["10.1145\/3371425.3371444","10.1145\/3371425"],"URL":"https:\/\/doi.org\/10.1145\/3371425.3371444","relation":{},"subject":[],"published":{"date-parts":[[2019,12,19]]},"assertion":[{"value":"2019-12-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}