{"id":"https://openalex.org/W4413278121","doi":"https://doi.org/10.1109/icip55913.2025.11084323","title":"Compressing Multi-Scale Features with a Channel-Shrinked Single-Branch Architecture","display_name":"Compressing Multi-Scale Features with a Channel-Shrinked Single-Branch Architecture","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413278121","doi":"https://doi.org/10.1109/icip55913.2025.11084323"},"language":"en","primary_location":{"id":"doi:10.1109/icip55913.2025.11084323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084323","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 Image Processing (ICIP)","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/A5078776625","display_name":"Hanming Wang","orcid":"https://orcid.org/0000-0002-9557-129X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanming Wang","raw_affiliation_strings":["China Telecom Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021246987","display_name":"Zijun Wu","orcid":"https://orcid.org/0000-0001-5020-5619"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijun Wu","raw_affiliation_strings":["China Telecom Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402190","display_name":"Yunlong Li","orcid":"https://orcid.org/0000-0002-1350-5142"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Li","raw_affiliation_strings":["China Telecom Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080176760","display_name":"Huifen Wang","orcid":"https://orcid.org/0000-0002-4755-7944"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifen Wang","raw_affiliation_strings":["China Telecom Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368749","display_name":"Yuan Zhang","orcid":"https://orcid.org/0000-0003-0032-8631"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["China Telecom Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.30351262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.7831000089645386,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.7831000089645386,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.6285784244537354},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4693126678466797},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4492534101009369},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4447348117828369},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32495734095573425},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22203224897384644},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10249748826026917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285784244537354},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4693126678466797},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4492534101009369},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4447348117828369},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32495734095573425},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22203224897384644},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10249748826026917},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip55913.2025.11084323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084323","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 Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2963393358","https://openalex.org/W2971714613","https://openalex.org/W3034469748","https://openalex.org/W3043914740","https://openalex.org/W3109946440","https://openalex.org/W3172982968","https://openalex.org/W4288083516","https://openalex.org/W4312796067","https://openalex.org/W4372260030","https://openalex.org/W4385627414","https://openalex.org/W4386075611","https://openalex.org/W4386160102","https://openalex.org/W4401990624","https://openalex.org/W4402916605"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Neural":[0],"network":[1],"feature":[2,18,50,61,71,104,126],"compression":[3,19],"is":[4,92,118],"an":[5,154],"important":[6],"technology":[7],"in":[8,46],"the":[9,96,135,161],"field":[10],"of":[11,29,99,115],"collaborative":[12],"intelligence.":[13],"In":[14],"recent":[15],"years,":[16],"various":[17],"technologies":[20,52],"have":[21],"been":[22],"developed":[23],"to":[24,102,120,140,159,179],"target":[25],"a":[26,75,112],"diverse":[27],"range":[28],"tasks":[30],"and":[31,68,173,184],"neural":[32,35,90],"networks.":[33],"Since":[34],"networks":[36,91],"equipped":[37],"with":[38,63,78,144,153],"Feature":[39],"Pyramid":[40],"Networks":[41],"(FPN)":[42],"usually":[43],"performed":[44],"better":[45],"certain":[47],"scenarios,":[48],"many":[49],"coding":[51,127],"are":[53,66,165,190],"designed":[54],"specifically":[55],"for":[56,82],"such":[57],"networks,":[58],"where":[59],"multiple":[60,109],"tensors":[62,110],"different":[64],"scales":[65],"encoded":[67],"reconstructed.":[69],"Current":[70],"coders":[72],"typically":[73,166],"adopt":[74],"multi-branch":[76,89,125],"paradigm":[77],"each":[79,103],"branch":[80],"responsible":[81],"processing":[83],"one":[84,145],"FPN":[85],"tensor.":[86],"However,":[87],"designing":[88],"difficult,":[93],"since":[94],"determining":[95],"optimal":[97],"amount":[98,114],"weight":[100],"allocated":[101],"tensor":[105],"or":[106],"shared":[107],"among":[108],"requires":[111],"substantial":[113],"experiments,":[116],"which":[117],"unaffordable":[119],"most":[121],"researchers.":[122],"Consequently,":[123],"existing":[124],"models":[128],"only":[129],"achieved":[130,171],"sub-optimal":[131],"performances.":[132],"To":[133],"tackle":[134],"above":[136],"problem,":[137],"we":[138],"propose":[139],"encode":[141],"multi-scale":[142],"features":[143],"single-branch":[146],"architecture.":[147],"Such":[148],"architecture":[149,170],"was":[150],"formed":[151],"semi-automatically":[152],"adaptive":[155],"channel":[156],"shrinking":[157],"mechanism":[158],"spare":[160],"extensive":[162],"experiments":[163],"that":[164],"required.":[167],"The":[168],"proposed":[169],"89.63%":[172],"90.34%":[174],"BD":[175],"rate":[176],"gains":[177],"compared":[178],"H.266/VVC":[180],"on":[181],"object":[182],"detection":[183],"instance":[185],"segmentation":[186],"respectively.":[187],"Our":[188],"codes":[189],"released":[191],"at:":[192],"https://github.com/pusheng0902/singleBranchFeatureCoding.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
