{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:13:47Z","timestamp":1775578427440,"version":"3.50.1"},"reference-count":113,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3375398","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T17:54:38Z","timestamp":1710438878000},"page":"1-20","source":"Crossref","is-referenced-by-count":53,"title":["Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2745-1656","authenticated-orcid":false,"given":"Cong","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"}]},{"given":"Kin-Man","family":"Lam","sequence":"additional","affiliation":[{"name":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3831-8893","authenticated-orcid":false,"given":"Tianshan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1473-094X","authenticated-orcid":false,"given":"Yui-Lam","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7028-4956","authenticated-orcid":false,"given":"Qi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3127232"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3155899"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3181062"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3233881"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027924"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3231058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.03.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117983"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs14102385"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01593-w"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3197152"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3310026"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267271"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3315392"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2023.3301930"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3133956"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3292418"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3109145"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01684-8"},{"key":"ref21","article-title":"An image is worth 16\u271716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3204770"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3198577"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3234161"},{"key":"ref27","article-title":"Intriguing properties of neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Szegedy"},{"key":"ref28","article-title":"Explaining and harnessing adversarial examples","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Goodfellow"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"},{"key":"ref30","first-page":"18599","article-title":"When adversarial training meets vision transformers: Recipes from training to architecture","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mo"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00774"},{"key":"ref32","article-title":"Adversarial robustness comparison of vision transformer and MLP-mixer to CNNs","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Benz"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2999962"},{"key":"ref34","article-title":"Adversarial machine learning at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kurakin"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00051"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01635"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01028"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_18"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00034"},{"key":"ref41","first-page":"1829","article-title":"Defense against adversarial attacks using feature scattering-based adversarial training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Zhang"},{"key":"ref42","first-page":"7520","article-title":"Enhance the visual representation via discrete adversarial training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mao"},{"key":"ref43","article-title":"Adversarial pretraining of self-supervised deep networks: Past, present and future","author":"Qi","year":"2022","journal-title":"arXiv:2210.13463"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00078"},{"key":"ref45","first-page":"16199","article-title":"Robust pre-training by adversarial contrastive learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","volume":"33","author":"Jiang"},{"key":"ref46","first-page":"21480","article-title":"When does contrastive learning preserve adversarial robustness from pretraining to finetuning?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Fan"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i12.26733"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3280973"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3251026"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3300154"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3351156"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3339624"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3051641"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3208337"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3156392"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3273287"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3225306"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/rs14215298"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3328889"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3081421"},{"key":"ref61","article-title":"BEit: BERT pre-training of image transformers","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Bao"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00943"},{"key":"ref64","first-page":"19997","article-title":"Green hierarchical vision transformer for masked image modeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Huang"},{"key":"ref65","article-title":"HiViT: A simpler and more efficient design of hierarchical vision transformer","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00950"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00113"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01002"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00928"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00803"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3070368"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00646"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3194732"},{"key":"ref80","first-page":"15637","article-title":"Using self-supervised learning can improve model robustness and uncertainty","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Hendrycks"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.3390\/rs15071860"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01785"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01306"},{"key":"ref85","article-title":"Uniform masking: Enabling MAE pre-training for pyramid-based vision transformers with locality","author":"Li","year":"2022","journal-title":"arXiv:2205.10063"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00605"},{"key":"ref87","article-title":"Context autoencoder for self-supervised representation learning","author":"Chen","year":"2022","journal-title":"arXiv:2202.03026"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref90","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16426"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3062048"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00281"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2778300"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050847"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2975541"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.09.022"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3166956"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3108476"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3038803"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3064840"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2930462"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2888887"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2954328"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2930982"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3093556"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3052575"},{"key":"ref111","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Dai"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2848901"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_24"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10464321.pdf?arnumber=10464321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T20:47:50Z","timestamp":1711658870000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10464321\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":113,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3375398","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}