iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1109/TGRS.2020.2981997
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T05:59:06Z","timestamp":1725429546402},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1906217","61971444","61871378"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/tgrs.2020.2981997","type":"journal-article","created":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T01:22:33Z","timestamp":1586222553000},"page":"7331-7345","source":"Crossref","is-referenced-by-count":57,"title":["Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval"],"prefix":"10.1109","volume":"58","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2337-8570","authenticated-orcid":false,"given":"Peng","family":"Li","sequence":"first","affiliation":[]},{"given":"Lirong","family":"Han","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1093-0079","authenticated-orcid":false,"given":"Xuanwen","family":"Tao","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1630-6058","authenticated-orcid":false,"given":"Xiaoyu","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0402-001X","authenticated-orcid":false,"given":"Christos","family":"Grecos","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9613-1659","authenticated-orcid":false,"given":"Antonio","family":"Plaza","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3949-985X","authenticated-orcid":false,"given":"Peng","family":"Ren","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref38","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2852750"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"101","DOI":"10.3390\/rs12010101","article-title":"Cohesion intensive deep hashing for remote sensing image retrieval","volume":"12","author":"han","year":"2019","journal-title":"Remote Sens"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2839705"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2756911"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2715227"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2401595"},{"key":"ref27","article-title":"AdapNet: Adaptability decomposing encoder-decoder network for weakly supervised action recognition and localization","author":"zhang","year":"2019","journal-title":"arXiv 1911 11961"},{"key":"ref29","article-title":"Multi-instance multi-label action recognition and localization based on spatio-temporal pre-trimming for untrimmed videos","author":"zhang","year":"2020","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"6508","DOI":"10.1109\/TGRS.2013.2296782","article-title":"VHR object detection based on structural feature extraction and query expansion","volume":"52","author":"bai","year":"2014","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-008-0577-y"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"709","DOI":"10.3390\/rs10050709","article-title":"Online hashing for scalable remote sensing image retrieval","volume":"10","author":"li","year":"2018","journal-title":"Remote Sens"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794446"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi6110364"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2339100"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2840980"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015981"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.11.018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref58","first-page":"1711","article-title":"Feature learning based deep supervised hashing with pairwise labels","author":"li","year":"2016","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref57","first-page":"1230","article-title":"Column sampling based discrete supervised hashing","author":"kang","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"ref55","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2013","journal-title":"arXiv 1310 1531"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref10","first-page":"1753","article-title":"Spectral hashing","author":"weiss","year":"2008","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995432"},{"key":"ref40","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","author":"lin","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.48"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107040"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477035"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326056"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2469138"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2870686"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2651056"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TPAMI.2012.124","article-title":"Tag completion for image retrieval","volume":"35","author":"wu","year":"2013","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2872355"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2205158"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000004865.97704.b9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699960"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/110852711"},{"key":"ref49","first-page":"2415","article-title":"Deep hashing network for efficient similarity retrieval","author":"zhu","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/997817.997857"},{"key":"ref46","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00460"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.598"},{"key":"ref42","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"141","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref41","first-page":"3123","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","author":"courbariaux","year":"2015","journal-title":"Proc Conf Workshop Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.574"},{"key":"ref43","first-page":"525","article-title":"XNOR-Net: ImageNet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"Proc Eur Conf Comput Vis"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9205700\/09057581.pdf?arnumber=9057581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:11:19Z","timestamp":1651068679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9057581\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":58,"journal-issue":{"issue":"10"},"URL":"http:\/\/dx.doi.org\/10.1109\/tgrs.2020.2981997","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}