{"id":"https://openalex.org/W4400935295","doi":"https://doi.org/10.1145/3672919.3672999","title":"Self-correlation prior-guidance and self-enhanced feature-fusion for few-shot segmentation","display_name":"Self-correlation prior-guidance and self-enhanced feature-fusion for few-shot segmentation","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400935295","doi":"https://doi.org/10.1145/3672919.3672999"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3672999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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/A5078465886","display_name":"S. P. Lin","orcid":"https://orcid.org/0000-0002-9716-9720"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuaiyang Lin","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-9716-9720","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102897927","display_name":"Si-Bao Chen","orcid":"https://orcid.org/0000-0003-1481-0162"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibao Chen","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0003-1481-0162","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078465886"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08932039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.977400004863739,"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/shot","display_name":"Shot (pellet)","score":0.6661767959594727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.600440263748169},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6002680063247681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961780548095703},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.556088387966156},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5233649015426636},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5079026818275452},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44238901138305664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44137224555015564},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4220409393310547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17476099729537964},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0965033769607544}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6661767959594727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600440263748169},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6002680063247681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961780548095703},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.556088387966156},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5233649015426636},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5079026818275452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44238901138305664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44137224555015564},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4220409393310547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17476099729537964},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0965033769607544},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3672999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1903029394","https://openalex.org/W1981276685","https://openalex.org/W2560023338","https://openalex.org/W2799213142","https://openalex.org/W2963078159","https://openalex.org/W2981787211","https://openalex.org/W4214573368","https://openalex.org/W4221153269","https://openalex.org/W6600503824","https://openalex.org/W6606876336"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Few-shot":[0],"segmentation":[1],"(FSS)":[2],"is":[3],"an":[4],"important":[5],"research":[6],"area":[7],"in":[8,16],"computer":[9],"vision,":[10],"which":[11,85,144],"aims":[12],"to":[13,59,69,107,110],"segment":[14],"objects":[15],"images":[17,39,49],"with":[18,30],"only":[19],"a":[20,81,127,131,141],"few":[21],"annotated":[22],"examples.":[23],"However,":[24],"existing":[25],"FSS":[26],"methods":[27],"often":[28],"struggle":[29],"appearance":[31],"and":[32,37,40,91,120,157],"scale":[33,124,143],"differences":[34],"between":[35],"support":[36,48],"query":[38,53,67,100,105,132],"primarily":[41],"rely":[42],"on":[43,154],"the":[44,52,62,66,71,99,104,163],"information":[45],"provided":[46,64],"by":[47,65,103],"for":[50],"segmenting":[51],"image.":[54],"This":[55],"problem":[56],"inspires":[57],"us":[58],"explore":[60],"using":[61],"clues":[63],"image":[68,133],"improve":[70],"performance":[72],"of":[73,122,130],"few-shot":[74],"segmentation.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"propose":[80],"network":[82],"named":[83],"SPSF":[84,165],"contains":[86],"self-correlation":[87],"prior-guidance":[88],"module":[89,94],"(SPM)":[90],"self-enhanced":[92],"feature-fusion":[93],"(SFM).":[95],"The":[96,114],"SPM":[97],"utilizes":[98],"features":[101],"extracted":[102],"extractor":[106],"guide":[108,146],"itself":[109],"discover":[111],"object":[112],"clues.":[113],"SFM":[115],"achieves":[116],"more":[117],"effective":[118],"propagation":[119],"fusion":[121,139,148],"different":[123],"information.":[125],"Besides,":[126],"prior":[128],"prediction":[129],"will":[134],"be":[135],"generated":[136],"after":[137],"feature":[138,147],"at":[140,149],"certain":[142],"can":[145],"other":[150],"scales.":[151],"Extensive":[152],"experiments":[153],"both":[155],"PASCAL-5i":[156],"COCO-20i":[158],"benchmark":[159],"datasets":[160],"demonstrate":[161],"that":[162],"proposed":[164],"has":[166],"state-of-the-art":[167],"performance.":[168]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}