{"id":"https://openalex.org/W4414229406","doi":"https://doi.org/10.1109/tii.2025.3598479","title":"Cascaded State Space and Contrastive Learning for Cross-Domain Few-Shot Segmentation","display_name":"Cascaded State Space and Contrastive Learning for Cross-Domain Few-Shot Segmentation","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414229406","doi":"https://doi.org/10.1109/tii.2025.3598479"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3598479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3598479","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Industrial Informatics","raw_type":"journal-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/A5114585413","display_name":"Feng Xiao","orcid":"https://orcid.org/0000-0003-1969-8616"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Feng Xiao","raw_affiliation_strings":["Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway"],"raw_orcid":"https://orcid.org/0000-0003-1969-8616","affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434758","display_name":"Jianhua Zhang","orcid":"https://orcid.org/0000-0001-7844-6035"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhang","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7844-6035","affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087571281","display_name":"Peihua Han","orcid":"https://orcid.org/0000-0002-2990-5896"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Peihua Han","raw_affiliation_strings":["Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway"],"raw_orcid":"https://orcid.org/0000-0002-2990-5896","affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6705-3831","affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042518197","display_name":"Houxiang Zhang","orcid":"https://orcid.org/0000-0003-0122-0964"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Houxiang Zhang","raw_affiliation_strings":["Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway"],"raw_orcid":"https://orcid.org/0000-0003-0122-0964","affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7316,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91137619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"21","issue":"12","first_page":"9424","last_page":"9434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6877999901771545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6215000152587891},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5737000107765198},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5496000051498413},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5424000024795532},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5245000123977661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4887000024318695},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4844000041484833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882000207901001},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6877999901771545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6442000269889832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6215000152587891},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5737000107765198},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4887000024318695},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4068000018596649},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.37040001153945923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3303999900817871},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3239000141620636},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3598479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3598479","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1592249304","display_name":null,"funder_award_id":"62020106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5370040448","display_name":null,"funder_award_id":"92048301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7912874633","display_name":null,"funder_award_id":"61876167","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":31,"referenced_works":["https://openalex.org/W1994062553","https://openalex.org/W2031489346","https://openalex.org/W2804199516","https://openalex.org/W2965729941","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W2994528761","https://openalex.org/W2998712190","https://openalex.org/W3034302825","https://openalex.org/W3047258141","https://openalex.org/W3108145393","https://openalex.org/W3136670918","https://openalex.org/W3167453437","https://openalex.org/W3179233662","https://openalex.org/W4312901617","https://openalex.org/W4313196086","https://openalex.org/W4388757380","https://openalex.org/W4391454478","https://openalex.org/W4394585876","https://openalex.org/W4396542421","https://openalex.org/W4401567644","https://openalex.org/W4402703098","https://openalex.org/W4402727522","https://openalex.org/W4402753894","https://openalex.org/W4402754105","https://openalex.org/W4403780492","https://openalex.org/W4404566085","https://openalex.org/W4405800321","https://openalex.org/W4407937888","https://openalex.org/W4408030063","https://openalex.org/W4413146579"],"related_works":[],"abstract_inverted_index":{"Current":[0],"cross-domain":[1],"few-shot":[2],"semantic":[3],"segmentation":[4],"(CD-FSS)":[5],"faces":[6],"multiple":[7,159],"challenges,":[8],"including":[9],"inconsistent":[10],"feature":[11,38,59,65,77],"mapping":[12],"among":[13],"domains":[14],"and":[15,21,40,99,106,129],"insufficient":[16],"utilization":[17],"of":[18,49,88,138],"low-level":[19],"information":[20,23,78,142],"background":[22],"from":[24,79],"the":[25,46,68,85,104,114,123,126,130,139,144,152],"source":[26],"domain.":[27],"To":[28],"address":[29],"these":[30],"issues,":[31],"this":[32,52,82],"article":[33],"proposes":[34],"a":[35,57,165],"novel":[36],"cascade":[37,58],"enhancement":[39,60,117],"contrastive":[41,94],"learning":[42,95],"framework":[43],"to":[44,62,96,164],"improve":[45],"generalization":[47],"capability":[48,87],"CD-FSS.":[50],"Within":[51],"framework,":[53],"we":[54,92,119],"first":[55],"introduce":[56],"module":[61,83,118],"construct":[63],"distinctive":[64],"representations,":[66],"enhancing":[67],"model\u2019s":[69],"transferability":[70],"across":[71],"domains.":[72],"By":[73],"effectively":[74],"integrating":[75],"multilevel":[76],"support":[80,127,146],"images,":[81],"strengthens":[84],"representation":[86],"query":[89,131],"images.":[90],"Second,":[91],"employ":[93],"form":[97],"positive":[98],"negative":[100],"sample":[101],"pairs":[102],"for":[103],"foreground":[105],"background,":[107],"capturing":[108],"rich":[109],"correlations":[110],"between":[111,125],"them.":[112],"Finally,":[113],"iterative":[115],"prototype":[116],"propose":[120],"gradually":[121],"refines":[122],"correspondence":[124],"image":[128,132],"through":[133],"iteration,":[134],"making":[135],"full":[136],"use":[137],"embedded":[140],"supervisory":[141],"in":[143],"limited":[145],"samples.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"that":[151],"proposed":[153],"method":[154],"outperforms":[155],"existing":[156],"approaches":[157],"on":[158],"benchmark":[160],"datasets,":[161],"achieving":[162],"up":[163],"9.7%":[166],"improvement":[167],"over":[168],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
