{"id":"https://openalex.org/W7094962448","doi":"https://doi.org/10.1145/3746027.3754987","title":"The Overlooked Matters: Revisiting Background, Prototype, and Activation in Few-Shot Medical Image Segmentation","display_name":"The Overlooked Matters: Revisiting Background, Prototype, and Activation in Few-Shot Medical Image Segmentation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W7094962448","doi":"https://doi.org/10.1145/3746027.3754987"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3754987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3754987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":null,"display_name":"Yucheng Shu","orcid":"https://orcid.org/0000-0002-5737-9571"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Shu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5737-9571","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaohui Wang","orcid":"https://orcid.org/0009-0003-6137-3353"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohui Wang","raw_affiliation_strings":["Chongqing University of Post and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0003-6137-3353","affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lihong Qiao","orcid":"https://orcid.org/0000-0003-0138-2728"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Qiao","raw_affiliation_strings":["Chongqing University of Post and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0138-2728","affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Feiyan Li","orcid":"https://orcid.org/0000-0002-2853-7091"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyan Li","raw_affiliation_strings":["Chongqing University of Post and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2853-7091","affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Xiao","orcid":"https://orcid.org/0000-0001-8469-5302"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xiao","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8469-5302","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing Post and Communications University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9033-8245","affiliations":[{"raw_affiliation_string":"Chongqing Post and Communications University, Chongqing, China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing University of Post and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7985-0037","affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3104","last_page":"3113"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5198000073432922,"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":0.5198000073432922,"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":0.3614000082015991,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.01940000057220459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6309000253677368},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5422000288963318},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5182999968528748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48240000009536743},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3425999879837036},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3359000086784363},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.33320000767707825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537000179290771},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6309000253677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733000040054321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5422000288963318},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5182999968528748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3962000012397766},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29319998621940613},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.26660001277923584},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3754987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3754987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4030822898","display_name":null,"funder_award_id":"62276040, 62331008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7052002437","display_name":null,"funder_award_id":"CSTB2023NSCQ-LZX0047, CSTB2024TIAD-KPX0040, CSTB2025TIAD-KPX0009","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W2146089088","https://openalex.org/W2752782242","https://openalex.org/W2964105864","https://openalex.org/W2990230185","https://openalex.org/W3034552520","https://openalex.org/W3138516171","https://openalex.org/W4211030596","https://openalex.org/W4294305479"],"related_works":[],"abstract_inverted_index":{"In":[0,29],"few-shot":[1,147,184],"medical":[2,148],"image":[3],"segmentation,":[4],"most":[5],"existing":[6],"methods":[7],"focus":[8],"heavily":[9],"on":[10,145],"learning":[11,118],"explicit":[12],"correlations":[13],"between":[14],"support":[15,51,116],"and":[16,53,71,86,111,119,131,177],"query":[17],"sets,":[18],"often":[19,180],"overlooking":[20],"the":[21,25,43,48,54,152,179],"core":[22],"demands":[23],"of":[24,45,50,56,154,183],"segmentation":[26,149],"task":[27],"itself.":[28],"this":[30],"work,":[31],"we":[32,63,99],"identify":[33],"three":[34,69],"overlooked":[35],"yet":[36],"critical":[37],"issues":[38],"that":[39,94,105,163],"limit":[40],"current":[41],"performance:":[42],"diversity":[44],"background":[46,76,89],"distributions,":[47],"degradation":[49],"prototypes,":[52],"over-activation":[55],"irrelevant":[57],"regions.":[58],"To":[59],"address":[60],"these":[61],"challenges,":[62],"propose":[64],"a":[65,75,81,101,107],"novel":[66],"framework":[67],"with":[68],"lightweight":[70],"adaptive":[72],"modules.":[73],"First,":[74],"self-distillation":[77],"module":[78,127],"acts":[79],"as":[80],"self-attention-driven":[82],"agent":[83],"to":[84,114,136],"cluster":[85],"aggregate":[87],"diverse":[88],"features,":[90],"generating":[91],"multiple":[92],"sub-prototypes":[93],"enhance":[95],"foreground-background":[96],"separation.":[97],"Second,":[98],"introduce":[100],"prototype":[102,117],"self-anchoring":[103],"mechanism":[104],"leverages":[106],"dual-branch":[108],"correlation":[109],"mapping":[110],"reverse":[112],"supervision":[113],"stabilize":[115],"prevent":[120],"feature":[121],"degradation.":[122],"Third,":[123],"an":[124],"activation":[125],"self-calibration":[126],"identifies":[128],"over-activated":[129],"residuals":[130],"applies":[132],"test-time":[133],"channel":[134],"manipulation":[135],"suppress":[137],"noisy":[138],"activations":[139],"without":[140],"additional":[141],"training.":[142],"Extensive":[143],"experiments":[144],"standard":[146],"benchmarks":[150],"demonstrate":[151],"superiority":[153],"our":[155],"approach":[156],"over":[157],"state-of-the-art":[158],"methods.":[159],"Our":[160],"findings":[161],"suggest":[162],"performance":[164],"gains":[165],"come":[166],"not":[167],"only":[168],"from":[169,175],"better":[170],"support-query":[171],"alignment,":[172],"but":[173],"also":[174],"rethinking":[176],"addressing":[178],"neglected":[181],"aspects":[182],"segmentation.":[185]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}
