{"id":"https://openalex.org/W3201113170","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533840","title":"Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation","display_name":"Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201113170","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533840","mag":"3201113170"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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":"https://openalex.org/A5101520408","display_name":"Jie Gao","orcid":"https://orcid.org/0000-0002-9061-2259"},"institutions":[{"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":"Jie Gao","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014932626","display_name":"Xiaoliu Luo","orcid":"https://orcid.org/0000-0002-2365-4950"},"institutions":[{"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":"Xiaoliu Luo","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101664915","display_name":"Taiping Zhang","orcid":"https://orcid.org/0000-0001-9891-4203"},"institutions":[{"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":"Taiping Zhang","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"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":"32","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.7810507416725159},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.728759765625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243364453315735},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6973561644554138},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6003052592277527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5778326988220215},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5508301258087158},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5456108450889587},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5447999835014343},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47615763545036316},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43203601241111755},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4229488968849182},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3548966944217682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08460071682929993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810507416725159},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.728759765625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243364453315735},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6973561644554138},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6003052592277527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5778326988220215},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5508301258087158},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5456108450889587},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5447999835014343},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47615763545036316},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43203601241111755},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4229488968849182},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3548966944217682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08460071682929993},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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:10.1109/ijcnn52387.2021.9533840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5656631925","display_name":null,"funder_award_id":"62076043","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":58,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1686810756","https://openalex.org/W1817277359","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2156387975","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2519887557","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2601450892","https://openalex.org/W2630837129","https://openalex.org/W2754560798","https://openalex.org/W2893918048","https://openalex.org/W2902683551","https://openalex.org/W2903655137","https://openalex.org/W2947252423","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963319519","https://openalex.org/W2963341924","https://openalex.org/W2963599420","https://openalex.org/W2963840672","https://openalex.org/W2964051675","https://openalex.org/W2981787211","https://openalex.org/W2983850069","https://openalex.org/W2990230185","https://openalex.org/W2994528761","https://openalex.org/W2997321404","https://openalex.org/W2997884746","https://openalex.org/W3022478135","https://openalex.org/W3033502887","https://openalex.org/W3034502973","https://openalex.org/W3034674637","https://openalex.org/W3046971235","https://openalex.org/W3047258141","https://openalex.org/W3106906018","https://openalex.org/W3108189450","https://openalex.org/W3118439879","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6682889407","https://openalex.org/W6717697761","https://openalex.org/W6748141922","https://openalex.org/W6754568377","https://openalex.org/W6756657096","https://openalex.org/W6774700999","https://openalex.org/W6780309945","https://openalex.org/W6781222066","https://openalex.org/W6781810510"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W3209312100"],"abstract_inverted_index":{"State-of-the-art":[0],"semantic":[1,76,94],"segmentation":[2,33,137],"algorithms":[3],"are":[4],"based":[5],"on":[6,164],"deep":[7],"convolutional":[8],"neural":[9],"networks,":[10],"which":[11,48,65],"aim":[12],"to":[13,21,51,61,151],"exploit":[14],"a":[15,40,44,86,103,120,140],"great":[16],"quantity":[17],"of":[18,99,134,148],"labeled":[19,46],"samples":[20],"predict":[22],"the":[23,35,63,67,79,109,126],"class":[24],"label":[25],"for":[26,92,136],"each":[27,132],"pixel":[28],"in":[29,78,113],"an":[30],"image.":[31],"Few-shot":[32],"alleviate":[34,152],"data":[36],"labeling":[37],"task,":[38],"learning":[39],"model":[41,173],"given":[42],"only":[43,56],"few":[45],"samples,":[47],"adapts":[49],"well":[50],"unseen":[52],"classes.":[53],"Previous":[54],"works":[55],"extract":[57],"spatial":[58,110,153],"pixels":[59,111],"relationship":[60,130],"build":[62],"guidance,":[64],"ignores":[66],"important":[68],"feature":[69,149],"channel":[70,88,121,128],"information":[71],"that":[72,107,124,144,171],"contain":[73],"abundant":[74],"local":[75,104],"structure":[77],"images.":[80,161],"In":[81],"this":[82],"paper,":[83],"we":[84],"propose":[85],"novel":[87,101],"interaction":[89,122],"network":[90],"(CINet)":[91],"few-shot":[93],"segmentation.":[95],"It":[96],"mainly":[97],"consists":[98],"three":[100],"steps:":[102],"enhancement":[105],"module":[106,123,143],"aggregates":[108],"connection":[112,147],"both":[114],"query":[115,156],"images":[116,135,157],"and":[117,139,158],"support":[118],"images;":[119],"captures":[125],"similar":[127],"from":[129],"between":[131,155],"pair":[133],"guidance;":[138],"residual":[141,146],"attention":[142],"exploiting":[145],"scales":[150],"inconsistency":[154],"corresponding":[159],"example":[160],"Extensive":[162],"experiments":[163],"PASCAL-5":[165],"<sup":[166],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[167],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</sup>":[168],"dataset":[169],"demonstrate":[170],"our":[172],"outperforms":[174],"state-of-the-art":[175],"methods":[176],"without":[177],"parameters":[178],"increase":[179],"sharply.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
