{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:26:33Z","timestamp":1781972793222,"version":"3.54.5"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004318","name":"Microsoft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004318","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9553578","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"8660-8663","source":"Crossref","is-referenced-by-count":20,"title":["VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis"],"prefix":"10.1109","author":[{"given":"Argho","family":"Sarkar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maryam","family":"Rahnemoonfar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Visual question answering","author":"antol","year":"0","journal-title":"ICCV"},{"key":"ref11","article-title":"Abc-cnn: An attention based convolutional neural network for visual question answering","author":"chen","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.499"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1044"},{"key":"ref15","article-title":"Hadamard product for low-rank bilinear pooling","author":"kim","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.202"},{"key":"ref17","article-title":"Hierarchical question-image co-attention for visual question answering","author":"lu","year":"0","journal-title":"NeurIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref4","article-title":"Floodnet: A high resolution aerial imagery dataset for post flood scene understanding","author":"rahnemoonfar","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","article-title":"xbd: A dataset for assessing building damage from satellite imagery","author":"gupta","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00077"},{"key":"ref5","first-page":"10","article-title":"Creating xbd: A dataset for assessing building damage from satellite imagery","author":"gupta","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref8","first-page":"3904","article-title":"Comprehensive semantic segmentation on high resolution uav imagery for natural disaster damage assessment","author":"chowdhury","year":"0","journal-title":"2020 IEEE International Conference on Big Data (Big Data)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301702"},{"key":"ref2","author":"benjamin","year":"2018","journal-title":"The multimedia satellite task at mediaeval 2018 Emergency response for flooding events"},{"key":"ref1","article-title":"The multimedia satellite task at mediaeval 2017","author":"bischke","year":"2017","journal-title":"MediaEval"},{"key":"ref9","article-title":"Simple baseline for visual question answering","author":"zhou","year":"2015","journal-title":"ArXiv Preprint"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","location":"Brussels, Belgium","start":{"date-parts":[[2021,7,11]]},"end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09553578.pdf?arnumber=9553578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:01Z","timestamp":1652197621000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9553578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9553578","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}