{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T01:44:30Z","timestamp":1769046270321,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Combine Adversarial learning with Deep learning for Image Change Detection and Classification Using Optical Remote Sensing Images","award":["62141206"],"award-info":[{"award-number":["62141206"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,25]]},"DOI":"10.1145\/3546607.3546613","type":"proceedings-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T13:40:48Z","timestamp":1661434848000},"page":"34-44","source":"Crossref","is-referenced-by-count":1,"title":["Remote Sensing Image Road Segmentation Detection Method Based on Asymmetric Convolution Net"],"prefix":"10.1145","author":[{"given":"GULNAZ","family":"ALIMJAN","sequence":"first","affiliation":[{"name":"School of Network Security and Information Technology, Yili Normal University, China"}]},{"given":"SHUANGLING","family":"ZHU","sequence":"additional","affiliation":[{"name":"School of Electronics and Engineering, Yili Normal University, China"}]},{"given":"YI","family":"LIANG","sequence":"additional","affiliation":[{"name":"School of Network Security and Information Technology, Yili Normal University, China"}]},{"given":"YILYAR","family":"JARMUHAMAT","sequence":"additional","affiliation":[{"name":"School of Network Security and Information Technology, Yili Normal University, China"}]},{"given":"RAXIDA","family":"TURHUNTAY","sequence":"additional","affiliation":[{"name":"School of Network Security and Information Technology, Yili Normal University, China"}]},{"given":"PAZILAT","family":"NURMAMAT","sequence":"additional","affiliation":[{"name":"School of Electronics and Engineering, Yili Normal University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-012-0241-4"},{"key":"e_1_3_2_1_3_1","volume-title":"IEEE Computer Society","author":"Taigman Y","year":"2014","unstructured":"Taigman Y , Ming Y , Ranzato M , DeepFace : Closing the Gap to Human-Level Performance in Face Verification\/\/ IEEE Conference on Computer Vision & Pattern Recognition . IEEE Computer Society , 2014 . Taigman Y, Ming Y, Ranzato M, DeepFace: Closing the Gap to Human-Level Performance in Face Verification\/\/ IEEE Conference on Computer Vision & Pattern Recognition. IEEE Computer Society, 2014."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"e_1_3_2_1_5_1","first-page":"416","article-title":"Review of visual attention detection","volume":"2019","author":"Wenguan SHEN","unstructured":"WANG Wenguan , SHEN Jianbing , JIA Yunde . Review of visual attention detection . Acta Sinica Sinica , 2019 ,30(02): 416 - 439 . WANG Wenguan, SHEN Jianbing, JIA Yunde. Review of visual attention detection. Acta Sinica Sinica,2019,30(02):416-439.","journal-title":"Acta Sinica Sinica"},{"key":"e_1_3_2_1_6_1","first-page":"1724","article-title":"Target specific emotion analysis based on multi attention convolutional neural network","volume":"2017","author":"Bin LIU","unstructured":"LIANG Bin , LIU Quan , XU Jin ,et al. Target specific emotion analysis based on multi attention convolutional neural network . Computer Research and Development , 2017 ,54(08): 1724 - 1735 . LIANG Bin,LIU Quan,XU Jin,et al. Target specific emotion analysis based on multi attention convolutional neural network. Computer Research and Development,2017,54(08):1724-1735.","journal-title":"Computer Research and Development"},{"key":"e_1_3_2_1_7_1","first-page":"1","article-title":"Research progress of attention mechanism in deep learning","volume":"2019","author":"Zhangli RAO","unstructured":"ZHU Zhangli , RAO Yuan , WU Yuan ,et al. Research progress of attention mechanism in deep learning . Chinese Journal of Information , 2019 ,3(06): 1 - 11 ZHU Zhangli, RAO Yuan,WU Yuan,et al. Research progress of attention mechanism in deep learning. Chinese Journal of Information,2019,3(06):1-11","journal-title":"Chinese Journal of Information"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"LI C. Attention Unet++: a nested attention-aware U-Net for liver CT image segmentation\/\/IEEE International Conference on Image Processing (ICIP) 2020:345-349.  LI C. Attention Unet++: a nested attention-aware U-Net for liver CT image segmentation\/\/IEEE International Conference on Image Processing (ICIP) 2020:345-349.","DOI":"10.1109\/ICIP40778.2020.9190761"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107353"},{"issue":"08","key":"e_1_3_2_1_10_1","first-page":"214685","article-title":"A Semantic SLAM Detect Dynamic Object by Pyramid Scene Parsing Network","volume":"2020","author":"Long W","unstructured":"X Long , Zhang W , Zhao B. PSP Net - SLAM : A Semantic SLAM Detect Dynamic Object by Pyramid Scene Parsing Network . IEEE Access , 2020 ( 08 ): 214685 - 214695 . X Long, Zhang W, Zhao B. PSPNet-SLAM: A Semantic SLAM Detect Dynamic Object by Pyramid Scene Parsing Network. IEEE Access, 2020(08):214685-214695.","journal-title":"IEEE Access"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.21817\/indjcse\/2020\/v11i3\/201103076"},{"issue":"02","key":"e_1_3_2_1_12_1","first-page":"354","article-title":"Image description generation algorithm based on multi attention and multi-scale feature fusion","volume":"39","author":"Longjie","year":"2019","unstructured":"CHEN Longjie , ZHANG Yu, ZHANG Yumei , Image description generation algorithm based on multi attention and multi-scale feature fusion . Computer Applications , 2019 , 39 ( 02 ): 354 - 359 . CHEN Longjie, ZHANG Yu, ZHANG Yumei, Image description generation algorithm based on multi attention and multi-scale feature fusion. Computer Applications, 2019, 39(02):354-359.","journal-title":"Computer Applications"},{"issue":"01","key":"e_1_3_2_1_13_1","first-page":"1","volume":"2020","author":"Han Y","year":"2020","unstructured":"Han Y , Wei C , Zhou R , Combining 3D-CNN and Squeeze-and-Excitation Networks for Remote Sensing Sea Ice Image Classification. Mathematical Problems in Engineering , 2020 , 2020 ( 01 ): 1 - 15 . Han Y, Wei C, Zhou R, Combining 3D-CNN and Squeeze-and-Excitation Networks for Remote Sensing Sea Ice Image Classification. Mathematical Problems in Engineering, 2020, 2020(01):1-15.","journal-title":"Mathematical Problems in Engineering"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevB.53.14212"}],"event":{"name":"ICVARS 2022: 2022 the 6th International Conference on Virtual and Augmented Reality Simulations","location":"Brisbane QLD Australia","acronym":"ICVARS 2022"},"container-title":["2022 the 6th International Conference on Virtual and Augmented Reality Simulations"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3546607.3546613","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3546607.3546613","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:44:02Z","timestamp":1750272242000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3546607.3546613"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,25]]},"references-count":14,"alternative-id":["10.1145\/3546607.3546613","10.1145\/3546607"],"URL":"https:\/\/doi.org\/10.1145\/3546607.3546613","relation":{},"subject":[],"published":{"date-parts":[[2022,3,25]]}}}