{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:59Z","timestamp":1750220339061,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:00:00Z","timestamp":1641859200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603195"],"award-info":[{"award-number":["61603195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,11]]},"DOI":"10.1145\/3512826.3512846","type":"proceedings-article","created":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T18:53:10Z","timestamp":1650048790000},"page":"55-64","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Indoor Scene Classification Algorithm Based on an Object Vector for Robot Applications"],"prefix":"10.1145","author":[{"given":"Ximing","family":"Fan","sequence":"first","affiliation":[{"name":"School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"China Unicom Internet of Things Corporation Limited, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guozheng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Scene recognition: A comprehensive survey,\" Pattern Recognition","author":"Xie F.","year":"2020","unstructured":"L. Xie , F. Lee , L. Liu , K. Kotani , and Q. Chen , \" Scene recognition: A comprehensive survey,\" Pattern Recognition , vol. 102 , p. 107205-, 2020 . L. Xie, F. Lee, L. Liu, K. Kotani, and Q. Chen, \"Scene recognition: A comprehensive survey,\" Pattern Recognition, vol. 102, p. 107205-, 2020."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.02.065"},{"key":"e_1_3_2_1_3_1","volume-title":"Exploiting object similarity for robotic visual recognition","author":"Cai H.","year":"2020","unstructured":"Cai , H. , & Mostofi , Y. ( 2020 ). Exploiting object similarity for robotic visual recognition . IEEE Transactions on Robotics , 37(1), 16-33. Cai, H., & Mostofi, Y. (2020). Exploiting object similarity for robotic visual recognition. IEEE Transactions on Robotics, 37(1), 16-33."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.06.017"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.04.025"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.025"},{"key":"e_1_3_2_1_7_1","first-page":"7185","volume-title":"Proceedings of AAAI Conference on Artificial Intelligence","author":"Liu Q.","year":"2018","unstructured":"Y. Liu , Q. Chen , W. Chen , I. Wassell, Dictionary learning inspired deep network for scene recognition , in: Proceedings of AAAI Conference on Artificial Intelligence , 2018 , pp. 7178\u2013 7185 . Y. Liu, Q. Chen, W. Chen, I. Wassell, Dictionary learning inspired deep network for scene recognition, in: Proceedings of AAAI Conference on Artificial Intelligence, 2018, pp. 7178\u20137185."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3231738"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2989863"},{"key":"e_1_3_2_1_10_1","article-title":"Hierarchical Coding of Convolutional Features for Scene Recognition","volume":"1","author":"Xie F.","year":"2019","unstructured":"L. Xie , F. Lee , L. Liu , Z. Yin , and Q. Chen , \" Hierarchical Coding of Convolutional Features for Scene Recognition ,\" IEEE Transactions on Multimedia , vol. PP, p. 1-1 , 2019 . L. Xie, F. Lee, L. Liu, Z. Yin, and Q. Chen, \"Hierarchical Coding of Convolutional Features for Scene Recognition,\" IEEE Transactions on Multimedia, vol. PP, p. 1-1, 2019.","journal-title":"IEEE Transactions on Multimedia"},{"key":"e_1_3_2_1_11_1","volume-title":"Recognizing indoor scenes,\" in IEEE Conference on Computer Vision & Pattern Recognition","author":"Quattoni A.","year":"2009","unstructured":"A. Quattoni and A. Torralba , \" Recognizing indoor scenes,\" in IEEE Conference on Computer Vision & Pattern Recognition , 2009 . A. Quattoni and A. Torralba, \"Recognizing indoor scenes,\" in IEEE Conference on Computer Vision & Pattern Recognition, 2009."},{"key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Places: A 10 Million Image Database for Scene Recognition","author":"Zhou A.","year":"2018","unstructured":"B. Zhou , A. Lapedriza , A. Khosla , A. Oliva , and A. Torralba , \" Places: A 10 Million Image Database for Scene Recognition ,\" IEEE Transactions on Pattern Analysis & Machine Intelligence , p. 1 - 1 , 2018 . B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba, \"Places: A 10 Million Image Database for Scene Recognition,\" IEEE Transactions on Pattern Analysis & Machine Intelligence, p. 1-1, 2018.","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"e_1_3_2_1_13_1","volume-title":"2012 IEEE conference on computer vision and pattern recognition (pp. 702-709)","author":"Yao J.","year":"2012","unstructured":"Yao , J. , Fidler , S. , & Urtasun , R. ( 2012 , June). Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation . In 2012 IEEE conference on computer vision and pattern recognition (pp. 702-709) . IEEE. Yao, J., Fidler, S., & Urtasun, R. (2012, June). Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. In 2012 IEEE conference on computer vision and pattern recognition (pp. 702-709). IEEE."},{"key":"e_1_3_2_1_14_1","volume-title":"Int. J, 2(91-110), 2.","author":"Lowe G.","year":"2004","unstructured":"Lowe , G. ( 2004 ). Sift-the scale invariant feature transform . Int. J, 2(91-110), 2. Lowe, G. (2004). Sift-the scale invariant feature transform. Int. J, 2(91-110), 2."},{"key":"e_1_3_2_1_15_1","volume-title":"European conference on computer vision (pp. 57-69)","author":"Li L. J.","year":"2010","unstructured":"Li , L. J. , Su , H. , Lim , Y. , & Fei-Fei , L. ( 2010 , September). Objects as attributes for scene classification . In European conference on computer vision (pp. 57-69) . Springer, Berlin, Heidelberg. Li, L. J., Su, H., Lim, Y., & Fei-Fei, L. (2010, September). Objects as attributes for scene classification. In European conference on computer vision (pp. 57-69). Springer, Berlin, Heidelberg."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_17_1","volume-title":"Scene Recognition by Manifold Regularized Deep Learning Architecture,\" IEEE transactions on neural networks and learning systems","author":"Yuan L.","year":"2017","unstructured":"Y. Yuan , L. Mou and X. Lu , \" Scene Recognition by Manifold Regularized Deep Learning Architecture,\" IEEE transactions on neural networks and learning systems , vol. 26 , p. 2222, 2017 . Y. Yuan, L. Mou and X. Lu, \"Scene Recognition by Manifold Regularized Deep Learning Architecture,\" IEEE transactions on neural networks and learning systems, vol. 26, p. 2222, 2017."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICOSC.2019.8665547"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2686017"},{"key":"e_1_3_2_1_20_1","article-title":"Scene Recognition With Prototype-Agnostic Scene Layout","volume":"1","author":"Chen X.","year":"2020","unstructured":"G. Chen , X. Song , H. Zeng , and S. Jiang , \" Scene Recognition With Prototype-Agnostic Scene Layout ,\" IEEE Transactions on Image Processing , vol. PP, p. 1-1 , 2020 . G. Chen, X. Song, H. Zeng, and S. Jiang, \"Scene Recognition With Prototype-Agnostic Scene Layout,\" IEEE Transactions on Image Processing, vol. PP, p. 1-1, 2020.","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_1_21_1","article-title":"High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network","volume":"1","author":"Li R.","year":"2020","unstructured":"F. Li , R. Feng , W. Han , and L. Wang , \" High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network ,\" IEEE Transactions on Geoscience and Remote Sensing , vol. PP, pp. 1-16 , 2020 . F. Li, R. Feng, W. Han, and L. Wang, \"High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network,\" IEEE Transactions on Geoscience and Remote Sensing, vol. PP, pp. 1-16, 2020.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_2_1_22_1","volume-title":"Multi-Scale Convolutional Neural Network for Remote Sensing Scene Classification,\" in 2018 IEEE International Conference on Electro\/Information Technology (EIT)","author":"Alhichri N.","year":"2018","unstructured":"H. Alhichri , N. Alajlan , Y. Bazi , and T. Rabczuk , \" Multi-Scale Convolutional Neural Network for Remote Sensing Scene Classification,\" in 2018 IEEE International Conference on Electro\/Information Technology (EIT) , 2018 H. Alhichri, N. Alajlan, Y. Bazi, and T. Rabczuk, \"Multi-Scale Convolutional Neural Network for Remote Sensing Scene Classification,\" in 2018 IEEE International Conference on Electro\/Information Technology (EIT), 2018"},{"key":"e_1_3_2_1_23_1","volume-title":"Cascade R-CNN: Delving Into High Quality Object Detection,\" in 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Cai N.","year":"2018","unstructured":"Z. Cai and N. Vasconcelos , \" Cascade R-CNN: Delving Into High Quality Object Detection,\" in 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2018 . Z. Cai and N. Vasconcelos, \"Cascade R-CNN: Delving Into High Quality Object Detection,\" in 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018."},{"key":"e_1_3_2_1_24_1","volume-title":"YOLOv3: An Incremental Improvement\", arXiv e-prints","author":"Redmon A.","year":"2018","unstructured":"J. Redmon and A. Farhadi , \" YOLOv3: An Incremental Improvement\", arXiv e-prints , 2018 . J. Redmon and A. Farhadi, \"YOLOv3: An Incremental Improvement\", arXiv e-prints, 2018."},{"key":"e_1_3_2_1_25_1","volume-title":"SSD: Single Shot MultiBox Detector,\" in European Conference on Computer Vision","author":"Liu D.","year":"2016","unstructured":"W. Liu , D. Anguelov , D. Erhan , C. Szegedy , and A. C. Berg , \" SSD: Single Shot MultiBox Detector,\" in European Conference on Computer Vision , 2016 . W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and A. C. Berg, \"SSD: Single Shot MultiBox Detector,\" in European Conference on Computer Vision, 2016."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/2770423.2770460"},{"key":"e_1_3_2_1_27_1","volume-title":"IROS 2009. IEEE\/RSJ International Conference on","author":"Wu H. I.","year":"2009","unstructured":"J. Wu , H. I. Christensen and J. M. Rehg , \" Visual Place Categorization: Problem, Dataset, and Algorithm,\" in Intelligent Robots and Systems, 2009 . IROS 2009. IEEE\/RSJ International Conference on , 2009 . J. Wu, H. I. Christensen and J. M. Rehg, \"Visual Place Categorization: Problem, Dataset, and Algorithm,\" in Intelligent Robots and Systems, 2009. IROS 2009. IEEE\/RSJ International Conference on, 2009."},{"key":"e_1_3_2_1_28_1","unstructured":"http:\/\/data.nvision2.eecs.yorku.ca\/scene_classificaiton\/test_data.tar.gz  http:\/\/data.nvision2.eecs.yorku.ca\/scene_classificaiton\/test_data.tar.gz"},{"key":"e_1_3_2_1_29_1","volume-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition,\" arXiv preprint arXiv:1409.1556","author":"Simonyan A.","year":"2014","unstructured":"K. Simonyan and A. Zisserman , \" Very Deep Convolutional Networks for Large-Scale Image Recognition,\" arXiv preprint arXiv:1409.1556 , 2014 . K. Simonyan and A. Zisserman, \"Very Deep Convolutional Networks for Large-Scale Image Recognition,\" arXiv preprint arXiv:1409.1556, 2014."},{"key":"e_1_3_2_1_30_1","volume-title":"ImageNet Classification with Deep Convolutional Neural Networks,\" in NIPS","author":"Krizhevsky I.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever and G. Hinton , \" ImageNet Classification with Deep Convolutional Neural Networks,\" in NIPS , 2012 . A. Krizhevsky, I. Sutskever and G. Hinton, \"ImageNet Classification with Deep Convolutional Neural Networks,\" in NIPS, 2012."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487796"},{"key":"e_1_3_2_1_32_1","unstructured":"Tzutalin.LabelImg.Gitcode(2015).https:\/\/github.com\/tzutalin\/labelImg  Tzutalin.LabelImg.Gitcode(2015).https:\/\/github.com\/tzutalin\/labelImg"},{"key":"e_1_3_2_1_33_1","first-page":"675","volume-title":"Convolutional architecture for fast feature embedding,\" in Proceedings of the 22nd ACM international conference on Multimedia","author":"Jia","year":"2014","unstructured":"Y. Jia , \"Caffe : Convolutional architecture for fast feature embedding,\" in Proceedings of the 22nd ACM international conference on Multimedia , 2014 , pp. 675 - 678 . Y. Jia , \"Caffe: Convolutional architecture for fast feature embedding,\" in Proceedings of the 22nd ACM international conference on Multimedia, 2014, pp. 675-678."},{"key":"e_1_3_2_1_34_1","unstructured":"http:\/\/lowrank.net\/nikos\/fest\/.  http:\/\/lowrank.net\/nikos\/fest\/."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_36_1","volume-title":"Indoor place classification by building cardinal-direction prototyping blocks on point clouds. Robotics and Autonomous Systems, 123, 103318","author":"Zhu B.","year":"2020","unstructured":"Zhu , B. , Gao , X. , Xu , G. , Wang , Y. , & Zheng , Y. ( 2020 ). Indoor place classification by building cardinal-direction prototyping blocks on point clouds. Robotics and Autonomous Systems, 123, 103318 .. Zhu, B., Gao, X., Xu, G., Wang, Y., & Zheng, Y. (2020). Indoor place classification by building cardinal-direction prototyping blocks on point clouds. Robotics and Autonomous Systems, 123, 103318.."}],"event":{"name":"AIEE 2022: 2022 The 3rd International Conference on Artificial Intelligence in Electronics Engineering","acronym":"AIEE 2022","location":"Bangkok Thailand"},"container-title":["2022 The 3rd International Conference on Artificial Intelligence in Electronics Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512826.3512846","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512826.3512846","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:27Z","timestamp":1750191147000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512826.3512846"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,11]]},"references-count":36,"alternative-id":["10.1145\/3512826.3512846","10.1145\/3512826"],"URL":"https:\/\/doi.org\/10.1145\/3512826.3512846","relation":{},"subject":[],"published":{"date-parts":[[2022,1,11]]},"assertion":[{"value":"2022-04-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}