{"id":"https://openalex.org/W4413823806","doi":"https://doi.org/10.1109/icccn65249.2025.11133815","title":"Lightweight Semantic Segmentation Network for End-to-End Learning-based Communication","display_name":"Lightweight Semantic Segmentation Network for End-to-End Learning-based Communication","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413823806","doi":"https://doi.org/10.1109/icccn65249.2025.11133815"},"language":"en","primary_location":{"id":"doi:10.1109/icccn65249.2025.11133815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn65249.2025.11133815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063596882","display_name":"Shengbin Dai","orcid":"https://orcid.org/0000-0002-2279-4492"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songchen Dai","raw_affiliation_strings":["Ningbo Innovation Center, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Innovation Center, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722511","display_name":"Yunlong Yu","orcid":"https://orcid.org/0000-0002-0294-2099"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Yu","raw_affiliation_strings":["Ningbo Innovation Center, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Innovation Center, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710526","display_name":"Zhao Wang","orcid":"https://orcid.org/0000-0001-5777-5315"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Wang","raw_affiliation_strings":["Ningbo Innovation Center, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Innovation Center, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024255641","display_name":"Chenguang Liu","orcid":"https://orcid.org/0000-0002-7787-8909"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chenguang Liu","raw_affiliation_strings":["Durham University,Department of Engineering,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Engineering,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112544078","display_name":"Yulin Zhou","orcid":"https://orcid.org/0009-0009-4557-0369"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Zhou","raw_affiliation_strings":["Ningbo Innovation Center, Zhejiang University,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Innovation Center, Zhejiang University,Ningbo,China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.6568999886512756,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.6568999886512756,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/end-to-end-principle","display_name":"End-to-end principle","score":0.8299421668052673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762960195541382},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.44939687848091125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3685375452041626}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8299421668052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762960195541382},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.44939687848091125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3685375452041626}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn65249.2025.11133815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn65249.2025.11133815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2395611524","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2762439315","https://openalex.org/W2774839435","https://openalex.org/W2787091153","https://openalex.org/W2883780447","https://openalex.org/W2955058313","https://openalex.org/W2962772649","https://openalex.org/W2962914239","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2971153810","https://openalex.org/W2971714613","https://openalex.org/W2981934169","https://openalex.org/W2982083293","https://openalex.org/W3091001089","https://openalex.org/W3113050802","https://openalex.org/W3165745140","https://openalex.org/W3195411577","https://openalex.org/W3211490618","https://openalex.org/W4214893857","https://openalex.org/W4296913506","https://openalex.org/W4312326868","https://openalex.org/W4312958552","https://openalex.org/W4367663172","https://openalex.org/W4384284039","https://openalex.org/W4389352615","https://openalex.org/W4390017992","https://openalex.org/W4390489106","https://openalex.org/W4390874023"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Semantic":[0],"communication":[1,150],"has":[2],"received":[3],"growing":[4],"interest":[5],"since":[6],"it":[7,145],"can":[8],"remarkably":[9],"reduce":[10],"the":[11,33,47],"amount":[12],"of":[13,37],"data":[14],"to":[15,97,111,140],"be":[16],"transmitted":[17],"without":[18],"missing":[19],"critical":[20],"information.":[21],"However,":[22],"tackling":[23],"bandwidth":[24],"limitations":[25],"often":[26],"incurs":[27],"excessive":[28],"computational":[29,123],"overhead":[30,124],"and":[31,72,93,113,125,133,142],"slows":[32],"inference":[34],"speed.":[35],"Instead":[36],"relying":[38],"on":[39,116,130],"compression,":[40],"coding,":[41],"or":[42],"block-wise":[43],"optimization,":[44],"we":[45],"propose":[46],"Multi-Modal":[48],"Channel":[49],"Fusion":[50],"Network":[51],"(MMCFNet),":[52],"a":[53,79],"lightweight":[54],"end-to-end":[55],"semantic":[56,149],"segmentation":[57,66],"network":[58],"for":[59,147],"multi-modal":[60,89,105],"channel":[61,85],"fusion.":[62],"MMCFNet":[63,102,120],"enhances":[64],"image":[65],"performance,":[67],"effectively":[68,103],"reduces":[69],"energy":[70],"consumption,":[71],"demonstrates":[73,138],"strong":[74],"noise":[75,95,112,141],"resilience.":[76],"We":[77],"proposed":[78,136],"Deep":[80],"Joint":[81],"Source-Channel":[82],"Coding":[83],"(DJSCC)":[84],"fusion":[86,91],"framework":[87,137],"with":[88],"information":[90,106],"capabilities":[92],"superior":[94],"immunity":[96],"further":[98],"improve":[99],"efficiency.":[100],"Additionally,":[101],"supports":[104],"processing":[107],"while":[108],"maintaining":[109],"robustness":[110,139],"interference.":[114],"Validated":[115],"various":[117],"benchmark":[118],"datasets,":[119],"achieves":[121],"low":[122],"significantly":[126],"outperforms":[127],"state-of-the-art":[128],"methods":[129],"MFNet,":[131],"PST900,":[132],"MCubeS.":[134],"The":[135],"interference,":[143],"making":[144],"ideal":[146],"bandwidth-constrained":[148],"systems.":[151]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}