{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T19:06:44Z","timestamp":1778353604946,"version":"3.51.4"},"reference-count":101,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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":["62331006"],"award-info":[{"award-number":["62331006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171038"],"award-info":[{"award-number":["62171038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61936011"],"award-info":[{"award-number":["61936011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62088101"],"award-info":[{"award-number":["62088101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"R&D Program of Beijing Municipal Education Commission","award":["KZ202211417048"],"award-info":[{"award-number":["KZ202211417048"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JST Moonshot R&D","award":["JPMJMS2011"],"award-info":[{"award-number":["JPMJMS2011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tpami.2024.3449959","type":"journal-article","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T17:27:30Z","timestamp":1724693250000},"page":"10763-10780","source":"Crossref","is-referenced-by-count":229,"title":["Frequency-Aware Feature Fusion for Dense Image Prediction"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9639-3237","authenticated-orcid":false,"given":"Linwei","family":"Chen","sequence":"first","affiliation":[{"name":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6677-694X","authenticated-orcid":false,"given":"Ying","family":"Fu","sequence":"additional","affiliation":[{"name":"MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7419-6240","authenticated-orcid":false,"given":"Lin","family":"Gu","sequence":"additional","affiliation":[{"name":"RIKEN AIP, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1204-0512","authenticated-orcid":false,"given":"Chenggang","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Automation, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3712-3691","authenticated-orcid":false,"given":"Tatsuya","family":"Harada","sequence":"additional","affiliation":[{"name":"RIKEN AIP, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7251-0988","authenticated-orcid":false,"given":"Gao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ren"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00232"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.79"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0261-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793510"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01488"},{"key":"ref12","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00656"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01875-x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_28"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref22","first-page":"1","article-title":"SAPA: Similarity-aware point affiliation for feature upsampling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19812-0_14"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12245"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01821"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01672-y"},{"key":"ref27","volume-title":"Discrete-Time Signal Processing","author":"Oppenheim","year":"1999"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JRPROC.1949.232969"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/T-AIEE.1928.5055024"},{"key":"ref30","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Xie"},{"key":"ref31","first-page":"1","article-title":"SegNeXt: Rethinking convolutional attention design for semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Guo"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref35","first-page":"1","article-title":"Crafting object detection in very low light","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Hong"},{"key":"ref36","first-page":"1","article-title":"When semantic segmentation meets frequency aliasing","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.09.007"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01808-8"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs13020252"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.026"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2022.3170591"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3220423"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.108010"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01660-2"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059911"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3103114"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3384406"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3386809"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2022.00.414"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3340561"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3340517"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3302128"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.353"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00433"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00324"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3074370"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3004474"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00677"},{"key":"ref67","first-page":"1","article-title":"Guided upsampling network for real-time semantic segmentation","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Mazzini"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3062772"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00090"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00554"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00533"},{"key":"ref73","first-page":"1","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu"},{"key":"ref74","volume-title":"Digital Image Processing: Principles and Applications","author":"Baxes","year":"1994"},{"key":"ref75","volume-title":"Digital Image Processing Algorithms and Applications","author":"Pitas","year":"2000"},{"key":"ref76","article-title":"A fourier perspective on model robustness in computer vision","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Yin"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00871"},{"key":"ref78","first-page":"5301","article-title":"On the spectral bias of neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rahaman"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17261"},{"key":"ref80","first-page":"7324","article-title":"Making convolutional networks shift-invariant again","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_3"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00082"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00425"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00556"},{"key":"ref85","first-page":"4479","article-title":"Fast fourier convolution","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chi"},{"key":"ref86","first-page":"980","article-title":"Global filter networks for image classification","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Rao"},{"key":"ref87","first-page":"1","article-title":"Fourier neural operator for parametric partial differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref88","first-page":"1","article-title":"Adaptive Fourier neural operators: Efficient token mixers for transformers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Guibas"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00407"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26280"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00204"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102830"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00310"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00336"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00132"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01508"},{"key":"ref99","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"ref101","article-title":"MMDetection: Open MMLab detection toolbox and benchmark","author":"Chen","year":"2019"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/10746266\/10648934.pdf?arnumber=10648934","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:32:14Z","timestamp":1732667534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10648934\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":101,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3449959","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}