{"id":"https://openalex.org/W4415708749","doi":"https://doi.org/10.1109/icme59968.2025.11209886","title":"Consolidating Selective SSM with Spatial-Angular and Bidirectional Structural Fusion Perception for Light Field Semantic Segmentation","display_name":"Consolidating Selective SSM with Spatial-Angular and Bidirectional Structural Fusion Perception for Light Field Semantic Segmentation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708749","doi":"https://doi.org/10.1109/icme59968.2025.11209886"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5083633651","display_name":"Wenbin Yan","orcid":"https://orcid.org/0009-0006-5362-3676"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Yan","raw_affiliation_strings":["The College of Electrical and Information Engineering, Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Electrical and Information Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230","https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102206307","display_name":"Qingwei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwei Wu","raw_affiliation_strings":["The College of Electrical and Information Engineering, Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Electrical and Information Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230","https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054763702","display_name":"Hua Chen","orcid":"https://orcid.org/0000-0002-1563-5274"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chen","raw_affiliation_strings":["The College of Computer Science and Electronic Engineering, Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Computer Science and Electronic Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230","https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432445","display_name":"Xiaogang Zhang","orcid":"https://orcid.org/0000-0003-4608-5401"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Zhang","raw_affiliation_strings":["The College of Electrical and Information Engineering, Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Electrical and Information Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230","https://openalex.org/I198357462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025643362","display_name":"Shengjie Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjie Hu","raw_affiliation_strings":["The College of Electrical and Information Engineering, Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of Electrical and Information Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230","https://openalex.org/I198357462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27272458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.7379000186920166,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.7379000186920166,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.033399999141693115,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.031199999153614044,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6984000205993652},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.669700026512146},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5552999973297119},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5386999845504761},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4284999966621399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40149998664855957},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3862000107765198},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3797000050544739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724000215530396},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6984000205993652},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.669700026512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358000040054321},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5386999845504761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45249998569488525},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4284999966621399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W3097065222","https://openalex.org/W3097571420","https://openalex.org/W3108601100","https://openalex.org/W3151130473","https://openalex.org/W3202487219","https://openalex.org/W4285134614","https://openalex.org/W4385490091","https://openalex.org/W4385804919","https://openalex.org/W4386071839","https://openalex.org/W4386076526","https://openalex.org/W4391305424","https://openalex.org/W4391935953","https://openalex.org/W4400810737","https://openalex.org/W4401633959","https://openalex.org/W4402449534","https://openalex.org/W4402981680","https://openalex.org/W4403152483","https://openalex.org/W4407049841"],"related_works":[],"abstract_inverted_index":{"With":[0,150],"the":[1,15,45,105,120,131,143,147,153,169],"advancement":[2],"of":[3,17,69,83,104,130,146],"neural":[4],"networks":[5],"and":[6,53,79,95,123,139,161],"computational":[7,35,167,188],"power,":[8],"significant":[9],"progress":[10],"has":[11],"been":[12],"made":[13],"in":[14,159,166],"research":[16],"light":[18,70,86,107,182],"field":[19,71,183],"semantic":[20,178],"segmentation.":[21],"However,":[22],"existing":[23],"methods":[24],"are":[25],"always":[26],"limited":[27],"by":[28],"capturing":[29],"long-range":[30],"global":[31],"dependencies":[32],"or":[33],"secondary":[34],"complexities,":[36],"which":[37,117],"restricts":[38],"performance.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,110],"investigate":[44],"recently":[46],"proposed":[47,148,170],"selective":[48,74],"State":[49],"Space":[50],"Model":[51],"(SSM)":[52],"introduce":[54],"LFSSNet,":[55],"a":[56,67,156,162],"novel":[57],"Light":[58],"Field":[59],"full-aperture":[60,181],"efficient":[61],"Semantic":[62],"Segmentation":[63],"Network.":[64],"We":[65],"design":[66],"series":[68],"visual":[72],"feature":[73,98],"scanning":[75,82],"modules,":[76],"enabling":[77],"parallel":[78],"independent":[80,101],"decoupled":[81],"4D":[84,106],"complex":[85],"fields.":[87,108],"These":[88],"modules":[89],"efficiently":[90],"extract":[91],"inherent":[92],"spatial,":[93],"angular,":[94],"bidirectional":[96],"structural":[97,124],"information":[99,122,184],"from":[100],"2D":[102],"slices":[103],"Additionally,":[109],"develop":[111],"an":[112],"SSM-attention":[113],"Cross-fusion":[114],"Enhancement":[115],"Module,":[116],"further":[118],"integrates":[119],"spatial-angular":[121],"complementary":[125],"information,":[126],"achieving":[127],"interactive":[128],"enhancement":[129],"fused":[132],"features.":[133],"Extensive":[134],"experiments":[135],"conducted":[136],"on":[137],"synthetic":[138],"real-world":[140],"datasets":[141],"validate":[142],"state-of-the-art":[144],"performance":[145],"method.":[149],"20":[151],"times":[152,164],"input":[154],"data,":[155],"6.73%":[157],"improvement":[158],"accuracy,":[160],"4":[163],"reduction":[165],"complexity,":[168],"LFSSNet":[171],"demonstrates":[172],"its":[173],"capability":[174],"to":[175],"achieve":[176],"high-precision":[177],"segmentation":[179],"utilizing":[180],"while":[185],"maintaining":[186],"low":[187],"complexity.":[189],"Our":[190],"code":[191],"is":[192],"available":[193],"at:":[194],"https://github.com/HNU-WQW/LFSSNet.":[195]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-30T00:00:00"}
