{"id":"https://openalex.org/W4406861187","doi":"https://doi.org/10.1109/vcip63160.2024.10849845","title":"Fully Aligned Network for Referring Image Segmentation","display_name":"Fully Aligned Network for Referring Image Segmentation","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861187","doi":"https://doi.org/10.1109/vcip63160.2024.10849845"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5115602420","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-6037-4926"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084646711","display_name":"Ruihao Xu","orcid":"https://orcid.org/0000-0002-5583-3005"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihao Xu","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yansong Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Tang","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115602420"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4949,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67832723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.8801000118255615,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.8801000118255615,"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":0.8622999787330627,"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/T10862","display_name":"AI in cancer detection","score":0.8518000245094299,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6844630241394043},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6254986524581909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5863569974899292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686841607093811},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48396992683410645},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44793805480003357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844630241394043},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6254986524581909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5863569974899292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686841607093811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48396992683410645},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44793805480003357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":40,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2251512949","https://openalex.org/W2302548814","https://openalex.org/W2565639579","https://openalex.org/W2605127024","https://openalex.org/W2798556392","https://openalex.org/W2876852810","https://openalex.org/W2894964039","https://openalex.org/W2964284374","https://openalex.org/W2964345792","https://openalex.org/W3004019157","https://openalex.org/W3034325957","https://openalex.org/W3034692043","https://openalex.org/W3035097537","https://openalex.org/W3093025045","https://openalex.org/W3096609285","https://openalex.org/W3108748824","https://openalex.org/W3138516171","https://openalex.org/W3169998662","https://openalex.org/W3172522282","https://openalex.org/W3178075329","https://openalex.org/W3187664142","https://openalex.org/W3201770677","https://openalex.org/W3216551675","https://openalex.org/W4200631575","https://openalex.org/W4312543911","https://openalex.org/W4385245566","https://openalex.org/W4386065534","https://openalex.org/W4390871743","https://openalex.org/W4402773761","https://openalex.org/W4402774102","https://openalex.org/W6631190155","https://openalex.org/W6739696289","https://openalex.org/W6755207826","https://openalex.org/W6766978945","https://openalex.org/W6768730002","https://openalex.org/W6791353385","https://openalex.org/W6853447796","https://openalex.org/W6869565456"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,19,112],"the":[4,38,78,102,113],"Referring":[5],"Image":[6],"Segmentation":[7],"(RIS)":[8],"task,":[9],"which":[10],"aims":[11],"to":[12,52,62],"segment":[13],"objects":[14],"from":[15],"an":[16],"image":[17],"based":[18],"a":[20,71,90,121],"given":[21],"language":[22],"description,":[23],"having":[24],"significant":[25],"potential":[26],"in":[27],"practical":[28],"applications":[29],"such":[30],"as":[31,59],"food":[32],"safety":[33],"detection.":[34],"Recent":[35],"advances":[36],"using":[37],"attention":[39],"mechanism":[40],"for":[41,75],"cross-modal":[42,64,82,98],"interaction":[43,57,99],"have":[44],"achieved":[45],"excellent":[46],"progress.":[47],"However,":[48],"current":[49],"methods":[50],"tend":[51],"lack":[53],"explicit":[54],"principles":[55],"of":[56,80,104],"design":[58],"guidelines,":[60],"leading":[61],"inadequate":[63],"comprehension.":[65],"Additionally,":[66],"most":[67],"previous":[68],"works":[69],"use":[70],"single-modal":[72],"mask":[73],"decoder":[74],"prediction,":[76],"losing":[77],"advantage":[79],"full":[81],"alignment.":[83],"To":[84],"address":[85],"these":[86],"challenges,":[87],"we":[88],"present":[89],"Fully":[91],"Aligned":[92],"Network":[93],"(FAN)":[94],"that":[95],"follows":[96],"four":[97],"principles.":[100],"Under":[101],"guidance":[103],"reasonable":[105],"rules,":[106],"our":[107],"FAN":[108],"achieves":[109],"state-of-the-art":[110],"performance":[111],"prevalent":[114],"RIS":[115],"benchmarks":[116],"(RefCOCO,":[117],"RefCOCO+,":[118],"G-Ref)":[119],"with":[120],"simple":[122],"architecture.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
