{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:50:55Z","timestamp":1783439455707,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"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":[[2021,8,24]]},"DOI":"10.1145\/3460426.3463656","type":"proceedings-article","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T22:50:28Z","timestamp":1630536628000},"page":"533-539","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["DANet"],"prefix":"10.1145","author":[{"given":"Bo","family":"Ju","sequence":"first","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinrang","family":"Jia","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqing","family":"Ye","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qu","family":"Chen","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Tan","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifeng","family":"Shi","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Errui","family":"Ding","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2018.0103"},{"key":"e_1_3_2_1_2_1","volume-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"Badrinarayanan Vijay","year":"2017","unstructured":"Vijay Badrinarayanan , Alex Kendall , and Roberto Cipolla . 2017 . Segnet: A deep convolutional encoder-decoder architecture for image segmentation . IEEE transactions on pattern analysis and machine intelligence , Vol. 39 , 12 (2017), 2481--2495. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence , Vol. 39, 12 (2017), 2481--2495."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9048939"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_7_1","volume-title":"3D Semantic Segmentation with Submanifold Sparse Convolutional Networks. CVPR","author":"Graham Benjamin","year":"2018","unstructured":"Benjamin Graham , Martin Engelcke , and Laurens van der Maaten . 2018. 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks. CVPR ( 2018 ). Benjamin Graham, Martin Engelcke, and Laurens van der Maaten. 2018. 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks. CVPR (2018)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01041"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3052442"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00121"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00157"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"e_1_3_2_1_16_1","volume-title":"CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. arXiv preprint arXiv:2005.01456","author":"Ouaknine Arthur","year":"2020","unstructured":"Arthur Ouaknine , Alasdair Newson , Julien Rebut , Florence Tupin , and Patrick P\u00e9rez . 2020. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. arXiv preprint arXiv:2005.01456 ( 2020 ). Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, and Patrick P\u00e9rez. 2020. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. arXiv preprint arXiv:2005.01456 (2020)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2967272"},{"key":"e_1_3_2_1_18_1","unstructured":"Charles R Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet  Charles R Qi Li Yi Hao Su and Leonidas J Guibas. 2017. Pointnet"},{"key":"e_1_3_2_1_19_1","volume-title":"Deep hierarchical feature learning on point sets in a metric space. arXiv preprint arXiv:1706.02413","year":"2017","unstructured":": Deep hierarchical feature learning on point sets in a metric space. arXiv preprint arXiv:1706.02413 ( 2017 ). : Deep hierarchical feature learning on point sets in a metric space. arXiv preprint arXiv:1706.02413 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. arXiv preprint arXiv:1506.01497","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren , Kaiming He , Ross Girshick , and Jian Sun . 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. arXiv preprint arXiv:1506.01497 ( 2015 ). Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. arXiv preprint arXiv:1506.01497 (2015)."},{"key":"e_1_3_2_1_21_1","volume-title":"Fundamentals of radar signal processing","author":"Richards Mark A","unstructured":"Mark A Richards . 2014. Fundamentals of radar signal processing . McGraw-Hill Education . Mark A Richards. 2014. Fundamentals of radar signal processing .McGraw-Hill Education."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_23_1","volume-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229","author":"Sermanet Pierre","year":"2013","unstructured":"Pierre Sermanet , David Eigen , Xiang Zhang , Micha\u00ebl Mathieu , Rob Fergus , and Yann LeCun . 2013 . Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229 (2013). Pierre Sermanet, David Eigen, Xiang Zhang, Micha\u00ebl Mathieu, Rob Fergus, and Yann LeCun. 2013. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229 (2013)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3390\/s110908992"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350924"},{"key":"e_1_3_2_1_27_1","volume-title":"RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization","author":"Wang Yizhou","year":"2021","unstructured":"Yizhou Wang , Zhongyu Jiang , Yudong Li , Jenq-Neng Hwang , Guanbin Xing , and Hui Liu . 2021. RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization . IEEE Journal of Selected Topics in Signal Processing ( 2021 ). Yizhou Wang, Zhongyu Jiang, Yudong Li, Jenq-Neng Hwang, Guanbin Xing, and Hui Liu. 2021. RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization. IEEE Journal of Selected Topics in Signal Processing (2021)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"e_1_3_2_1_29_1","volume-title":"Center-based 3d object detection and tracking. arXiv preprint arXiv:2006.11275","author":"Yin Tianwei","year":"2020","unstructured":"Tianwei Yin , Xingyi Zhou , and Philipp Kr\"ahenb \u00fchl . 2020. Center-based 3d object detection and tracking. arXiv preprint arXiv:2006.11275 ( 2020 ). Tianwei Yin, Xingyi Zhou, and Philipp Kr\"ahenb\u00fchl. 2020. Center-based 3d object detection and tracking. arXiv preprint arXiv:2006.11275 (2020)."},{"key":"e_1_3_2_1_30_1","volume-title":"Objects as points. arXiv preprint arXiv:1904.07850","author":"Zhou Xingyi","year":"2019","unstructured":"Xingyi Zhou , Dequan Wang , and Philipp Kr\"ahenb \u00fchl . 2019. Objects as points. arXiv preprint arXiv:1904.07850 ( 2019 ). Xingyi Zhou, Dequan Wang, and Philipp Kr\"ahenb\u00fchl. 2019. Objects as points. arXiv preprint arXiv:1904.07850 (2019)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"}],"event":{"name":"ICMR '21: International Conference on Multimedia Retrieval","location":"Taipei Taiwan","acronym":"ICMR '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2021 International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460426.3463656","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460426.3463656","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:04Z","timestamp":1750191424000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460426.3463656"}},"subtitle":["Dimension Apart Network for Radar Object Detection"],"short-title":[],"issued":{"date-parts":[[2021,8,24]]},"references-count":31,"alternative-id":["10.1145\/3460426.3463656","10.1145\/3460426"],"URL":"https:\/\/doi.org\/10.1145\/3460426.3463656","relation":{},"subject":[],"published":{"date-parts":[[2021,8,24]]},"assertion":[{"value":"2021-09-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}