{"id":"https://openalex.org/W4417091044","doi":"https://doi.org/10.1109/jbhi.2025.3639673","title":"S 2 Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation","display_name":"S 2 Match: Revisiting Weak-to-Strong Consistency From a Semantic Similarity Perspective for Semi-Supervised Medical Image Segmentation","publication_year":2025,"publication_date":"2025-12-05","ids":{"openalex":"https://openalex.org/W4417091044","doi":"https://doi.org/10.1109/jbhi.2025.3639673","pmid":"https://pubmed.ncbi.nlm.nih.gov/41348788"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3639673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3639673","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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":"https://openalex.org/A5120717040","display_name":"Shiao Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiao Xie","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5106-5512","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078676052","display_name":"Hongyi Wang","orcid":"https://orcid.org/0000-0002-2336-1496"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyi Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2336-1496","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034985742","display_name":"Ziwei Niu","orcid":"https://orcid.org/0000-0003-0171-5158"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Niu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0171-5158","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120717041","display_name":"Hao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8094-1991","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120695633","display_name":"Shuyi Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyi Ouyang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4507-4153","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700166","display_name":"Yen-Wei Chen","orcid":"https://orcid.org/0000-0002-8740-0351"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5952-0188","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120717042","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4098-588X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26482593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"6","first_page":"5325","last_page":"5338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7610999941825867,"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":0.7610999941825867,"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":0.0544000007212162,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.039000000804662704,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6377999782562256},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5708000063896179},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49410000443458557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48910000920295715},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4505000114440918},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4453999996185303},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41679999232292175},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.414000004529953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4074000120162964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851999998092651},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6377999782562256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241999864578247},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5708000063896179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48910000920295715},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4505000114440918},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4453999996185303},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.414000004529953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36250001192092896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.35040000081062317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499000072479248},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25029999017715454},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2500999867916107}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3639673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3639673","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:41348788","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41348788","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 journal of biomedical and health informatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5417803145","display_name":"\u57fa\u4e8e\u8054\u90a6\u5b66\u4e60\u7684\u672f\u524dHCC \u65e9\u671f\u590d\u53d1\u68c0\u6d4b\u9884\u6d4b","funder_award_id":"LZ22F020012","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1994616650","https://openalex.org/W2106033751","https://openalex.org/W2804047627","https://openalex.org/W2962858109","https://openalex.org/W2962914239","https://openalex.org/W2966415767","https://openalex.org/W2979907638","https://openalex.org/W2981994674","https://openalex.org/W2992308087","https://openalex.org/W2996290406","https://openalex.org/W3035680157","https://openalex.org/W3093394156","https://openalex.org/W3171581326","https://openalex.org/W3197957534","https://openalex.org/W3203488660","https://openalex.org/W3204166336","https://openalex.org/W4224989742","https://openalex.org/W4225895868","https://openalex.org/W4285040393","https://openalex.org/W4310466409","https://openalex.org/W4312568229","https://openalex.org/W4320036903","https://openalex.org/W4321232185","https://openalex.org/W4386075748","https://openalex.org/W4386075981","https://openalex.org/W4386076293","https://openalex.org/W4386158837","https://openalex.org/W4390874575","https://openalex.org/W4401211295","https://openalex.org/W4401692934","https://openalex.org/W4402343194","https://openalex.org/W4402509827","https://openalex.org/W4402727005","https://openalex.org/W4402727208","https://openalex.org/W4403069407","https://openalex.org/W4403619442","https://openalex.org/W4406075583","https://openalex.org/W4407638508","https://openalex.org/W4409076877","https://openalex.org/W4409367313","https://openalex.org/W4411019502"],"related_works":[],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1],"(SSL)":[2],"for":[3,78,114,162],"medical":[4,55,115,213],"image":[5,56,116,214],"segmentation":[6,215],"is":[7],"a":[8,38,46,110,126,158],"challenging":[9],"yet":[10],"highly":[11],"practical":[12],"task,":[13],"which":[14,167],"reduces":[15],"reliance":[16],"on":[17,92,180,220],"large-scale":[18],"labeled":[19,96,153],"datasets":[20],"by":[21,33,121,134],"leveraging":[22],"unlabeled":[23,98,155],"samples.":[24],"Among":[25],"SSL":[26,112],"techniques,":[27],"the":[28,69,88,137,148,174,207],"weak-to-strong":[29],"consistency":[30],"framework,":[31],"popularized":[32],"FixMatch,":[34],"has":[35,49],"emerged":[36],"as":[37],"state-of-the-art":[39,208],"method":[40],"in":[41,54,75],"classification":[42],"tasks.":[43,225],"Notably,":[44],"such":[45],"simple":[47],"pipeline":[48],"also":[50],"shown":[51],"competitive":[52,218],"performance":[53,219],"segmentation.":[57],"However,":[58],"two":[59,122],"key":[60],"limitations":[61],"still":[62],"persist,":[63],"impeding":[64],"its":[65],"efficient":[66],"adaptation:":[67],"(1)":[68,130],"neglect":[70],"of":[71,90],"contextual":[72,144],"dependencies":[73,145],"results":[74],"inconsistent":[76],"predictions":[77],"similar":[79],"semantic":[80,93,127,176],"features,":[81,182],"leading":[82],"to":[83,192],"incomplete":[84],"object":[85],"segmentation;":[86],"(2)":[87,151],"lack":[89],"exploitation":[91],"similarity":[94,128,177],"between":[95],"and":[97,154,223],"data":[99,156],"induces":[100],"considerable":[101],"class-distribution":[102],"discrepancy.":[103],"To":[104],"address":[105],"these":[106],"limitations,":[107],"we":[108,183],"propose":[109],"novel":[111],"framework":[113],"segmentation,":[117],"named":[118],"S2Match,":[119],"powered":[120],"appealing":[123],"designs":[124],"from":[125,196],"perspective:":[129],"rectifying":[131],"pixel-wise":[132],"prediction":[133],"reasoning":[135],"about":[136],"intra-image":[138],"pair-wise":[139],"affinity":[140],"map,":[141],"thus":[142],"integrating":[143],"explicitly":[146],"into":[147],"final":[149],"prediction;":[150],"bridging":[152],"via":[157],"feature":[159],"querying":[160],"mechanism":[161],"compact":[163],"class":[164],"representation":[165],"learning,":[166],"fully":[168],"considers":[169],"cross-image":[170],"anatomical":[171],"similarities.":[172],"As":[173],"reliable":[175],"extraction":[178],"depends":[179],"robust":[181],"further":[184],"introduce":[185],"an":[186],"effective":[187],"Spatial-aware":[188],"Fusion":[189],"Module":[190],"(SFM)":[191],"explore":[193],"distinctive":[194],"information":[195],"multiple":[197],"scales.":[198],"Experiments":[199],"show":[200],"that":[201],"S2Match":[202],"yields":[203],"consistent":[204],"improvements":[205],"over":[206],"methods":[209],"across":[210],"five":[211],"public":[212],"benchmarks,":[216],"exhibiting":[217],"both":[221],"2D":[222],"3D":[224]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-12-05T00:00:00"}
