{"id":"https://openalex.org/W4205163772","doi":"https://doi.org/10.1109/tim.2021.3139710","title":"Distortion Convolution Module for Semantic Segmentation of Panoramic Images Based on the Image-Forming Principle","display_name":"Distortion Convolution Module for Semantic Segmentation of Panoramic Images Based on the Image-Forming Principle","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205163772","doi":"https://doi.org/10.1109/tim.2021.3139710"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3139710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139710","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101944862","display_name":"Xing Hu","orcid":"https://orcid.org/0000-0002-3410-8322"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Hu","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-3410-8322","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003105240","display_name":"Yi An","orcid":"https://orcid.org/0000-0002-2667-122X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi An","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","School of Electrical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-2667-122X","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053960408","display_name":"Cheng Shao","orcid":"https://orcid.org/0000-0002-7845-0613"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Shao","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-7845-0613","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600900","display_name":"Huosheng Hu","orcid":"https://orcid.org/0000-0001-5797-1412"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huosheng Hu","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5797-1412","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0555,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8786036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8272258043289185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7443206906318665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115851640701294},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6427426338195801},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5957835912704468},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5694643259048462},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5315688848495483},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49225369095802307},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48533740639686584},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4716424345970154},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.45070526003837585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40831318497657776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15117838978767395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13452810049057007},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06919226050376892}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8272258043289185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7443206906318665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115851640701294},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6427426338195801},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5957835912704468},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5694643259048462},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5315688848495483},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49225369095802307},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48533740639686584},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4716424345970154},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.45070526003837585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40831318497657776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15117838978767395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13452810049057007},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06919226050376892},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3139710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139710","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G175617247","display_name":null,"funder_award_id":"62173055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3997431671","display_name":null,"funder_award_id":"61673083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1669576939","https://openalex.org/W1985477827","https://openalex.org/W2019007418","https://openalex.org/W2021874843","https://openalex.org/W2057766517","https://openalex.org/W2080709675","https://openalex.org/W2089749638","https://openalex.org/W2119980482","https://openalex.org/W2395611524","https://openalex.org/W2516375217","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2762439315","https://openalex.org/W2787091153","https://openalex.org/W2794206053","https://openalex.org/W2803595004","https://openalex.org/W2807732111","https://openalex.org/W2890046361","https://openalex.org/W2894289735","https://openalex.org/W2896138071","https://openalex.org/W2897373036","https://openalex.org/W2902311704","https://openalex.org/W2912061451","https://openalex.org/W2914958891","https://openalex.org/W2962963681","https://openalex.org/W2963418739","https://openalex.org/W2963600139","https://openalex.org/W2963881378","https://openalex.org/W2963890956","https://openalex.org/W2964238526","https://openalex.org/W2968805489","https://openalex.org/W2972887266","https://openalex.org/W3036092711","https://openalex.org/W3038020296","https://openalex.org/W3044437987","https://openalex.org/W3098241816","https://openalex.org/W3101746590","https://openalex.org/W3112712298","https://openalex.org/W3119419912","https://openalex.org/W3121058064","https://openalex.org/W3133630855","https://openalex.org/W3145228194","https://openalex.org/W3154370185","https://openalex.org/W3156814548","https://openalex.org/W3157362446","https://openalex.org/W3173433277","https://openalex.org/W3192829953","https://openalex.org/W4293406525","https://openalex.org/W6717372056","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W44395729","https://openalex.org/W4205302943","https://openalex.org/W2142795561","https://openalex.org/W2379948177","https://openalex.org/W1496225612","https://openalex.org/W2107949441","https://openalex.org/W2561132942"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,76,160,167],"of":[2,23,49,66,81,100,161],"panoramic":[3,33,50,79,162],"images":[4,34,51,80],"plays":[5,184],"a":[6,73,95,101,106,133],"key":[7],"role":[8,187],"in":[9,188],"many":[10],"applications,":[11],"such":[12],"as":[13],"security":[14],"monitoring":[15],"and":[16,94,109,155,183],"autonomous":[17],"driving.":[18],"With":[19],"the":[20,41,46,54,63,67,86,122,127,131,153,158,166,173],"rapid":[21],"development":[22],"deep":[24,27,134],"learning,":[25],"some":[26],"networks":[28,38],"are":[29],"developed":[30,119],"to":[31,44,53,120,126,141],"segment":[32],"semantically.":[35],"However,":[36],"these":[37],"don\u2019t":[39],"have":[40],"special":[42],"modules":[43],"correct":[45,121],"image":[47,68,123],"distortion":[48,55,87,102,124],"according":[52,125],"principle,":[56],"which":[57,164],"makes":[58],"feature":[59,135],"extraction":[60],"unreasonable":[61],"during":[62],"convolution":[64],"because":[65],"distortion.":[69],"This":[70],"article":[71],"proposes":[72],"novel":[74],"semantic":[75,159],"network":[77,90,137,151,175],"for":[78,179],"outdoor":[82,181],"scenes":[83,182],"based":[84],"on":[85],"convolution.":[88],"The":[89,97,116,149,169],"contains":[91],"an":[92,110,185],"encoder":[93,98],"decoder.":[96],"consists":[99],"convolutional":[103],"module":[104],"(DCM),":[105],"residual":[107],"network,":[108],"atrous":[111],"spatial":[112],"pyramid":[113],"pooling":[114],"(ASPP).":[115],"DCM":[117,154],"is":[118,139],"image-forming":[128],"principle.":[129],"In":[130],"decoder,":[132],"aggregation":[136],"(DFAN)":[138],"designed":[140],"fully":[142],"fuse":[143],"low-level":[144],"features":[145],"with":[146],"high-level":[147],"features.":[148],"proposed":[150,174],"introduces":[152],"DFAN":[156],"into":[157],"images,":[163],"improves":[165],"accuracy.":[168],"experiments":[170],"demonstrate":[171],"that":[172],"has":[176],"good":[177],"performance":[178],"different":[180],"important":[186],"measurement":[189],"applications.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
