{"id":"https://openalex.org/W4225012722","doi":"https://doi.org/10.1109/tpami.2022.3165034","title":"TAGNet: Learning Configurable Context Pathways for Semantic Segmentation","display_name":"TAGNet: Learning Configurable Context Pathways for Semantic Segmentation","publication_year":2022,"publication_date":"2022-04-26","ids":{"openalex":"https://openalex.org/W4225012722","doi":"https://doi.org/10.1109/tpami.2022.3165034","pmid":"https://pubmed.ncbi.nlm.nih.gov/35471871"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3165034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3165034","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Di Lin","orcid":"https://orcid.org/0000-0002-9324-800X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Lin","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dingguo Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingguo Shen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanfeng Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfeng Ji","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siting Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siting Shen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingrui Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Xie","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Feng","orcid":"https://orcid.org/0000-0003-3809-1086"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.3063,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52892064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"45","issue":"2","first_page":"2475","last_page":"2491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8575000166893005,"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":0.8575000166893005,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.029100000858306885,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.024299999698996544,"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/segmentation","display_name":"Segmentation","score":0.7394000291824341},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6449999809265137},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6180999875068665},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4982999861240387},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4124000072479248},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.38429999351501465},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3756999969482422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85589998960495},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7394000291824341},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6449999809265137},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6180999875068665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152999997138977},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4982999861240387},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4124000072479248},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3756999969482422},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.3716999888420105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3165034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3165034","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35471871","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35471871","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3704551478","display_name":null,"funder_award_id":"62072334","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":53,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2124592697","https://openalex.org/W2172859194","https://openalex.org/W2194775991","https://openalex.org/W2309415944","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2561196672","https://openalex.org/W2563705555","https://openalex.org/W2598666589","https://openalex.org/W2601564443","https://openalex.org/W2618530766","https://openalex.org/W2777686015","https://openalex.org/W2777737607","https://openalex.org/W2782278879","https://openalex.org/W2787091153","https://openalex.org/W2798791840","https://openalex.org/W2799166040","https://openalex.org/W2808620491","https://openalex.org/W2886904239","https://openalex.org/W2886934227","https://openalex.org/W2890498246","https://openalex.org/W2895340641","https://openalex.org/W2895420332","https://openalex.org/W2948080074","https://openalex.org/W2955058313","https://openalex.org/W2960251737","https://openalex.org/W2963091558","https://openalex.org/W2963108253","https://openalex.org/W2963318290","https://openalex.org/W2963393688","https://openalex.org/W2963563573","https://openalex.org/W2963728677","https://openalex.org/W2963815618","https://openalex.org/W2966926453","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2991062542","https://openalex.org/W2993235622","https://openalex.org/W3034502973","https://openalex.org/W3034681889","https://openalex.org/W3159637683","https://openalex.org/W3165745140","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6739696289","https://openalex.org/W6754899465","https://openalex.org/W6758168261"],"related_works":[],"abstract_inverted_index":{"State-of-the-art":[0],"semantic":[1],"segmentation":[2,146],"methods":[3,15],"capture":[4],"the":[5,23,27,79,84,90,93,97,101,107,123,134,141,145,152],"relationship":[6],"between":[7,69,92],"pixels":[8],"to":[9,25,55,65,76,150],"facilitate":[10],"contextual":[11,51,118],"information":[12,67,98,108],"exchange.":[13],"Advanced":[14],"utilize":[16],"fixed":[17],"pathways":[18,48,102],"for":[19,31,46,49],"context":[20,30],"exchange,":[21],"lacking":[22],"flexibility":[24],"harness":[26],"most":[28],"relevant":[29],"each":[32],"pixel.":[33],"In":[34,53],"this":[35],"paper,":[36],"we":[37],"present":[38],"Configurable":[39],"Context":[40],"Pathways":[41],"(CCPs),":[42],"a":[43],"novel":[44],"model":[45],"establishing":[47],"augmenting":[50],"information.":[52,119],"contrast":[54],"previous":[56],"pathway":[57],"models,":[58],"CCPs":[59],"are":[60,103],"learned,":[61],"leveraging":[62],"configurable":[63,113],"regions":[64],"form":[66],"flows":[68,99],"pairs":[70],"of":[71,112,130,140],"pixels.":[72,95],"We":[73,120],"propose":[74],"TAGNet":[75],"adaptively":[77],"configure":[78],"regions,":[80,114],"which":[81],"span":[82],"over":[83],"entire":[85],"image":[86],"space,":[87],"driven":[88],"by":[89,106,110],"relationships":[91],"remote":[94],"Subsequently,":[96],"along":[100],"updated":[104],"gradually":[105],"provided":[109],"sequences":[111],"forming":[115],"more":[116],"powerful":[117],"extensively":[121],"evaluate":[122],"traveling,":[124],"adaption,":[125],"and":[126,148],"gathering":[127],"(TAG)":[128],"stages":[129,142],"our":[131],"network":[132],"on":[133],"public":[135],"benchmarks,":[136],"demonstrating":[137],"that":[138],"all":[139],"successfully":[143],"improve":[144],"accuracy":[147],"help":[149],"surpass":[151],"state-of-the-art":[153],"results.":[154],"The":[155],"code":[156],"package":[157],"is":[158],"available":[159],"at:":[160],"https://github.com/dilincv/TAGNet.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-04-29T00:00:00"}