{"id":"https://openalex.org/W4391953407","doi":"https://doi.org/10.1109/tcsvt.2024.3367666","title":"Understanding Negative Proposals in Generic Few-Shot Object Detection","display_name":"Understanding Negative Proposals in Generic Few-Shot Object Detection","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391953407","doi":"https://doi.org/10.1109/tcsvt.2024.3367666"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3367666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3367666","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5114626866","display_name":"Bowei Yan","orcid":"https://orcid.org/0009-0000-4591-5499"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bowei Yan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031223376","display_name":"Chunbo Lang","orcid":"https://orcid.org/0000-0001-6547-7174"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunbo Lang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080476856","display_name":"Gong Cheng","orcid":"https://orcid.org/0000-0001-5030-0683"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Cheng","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114626866"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":8.9743,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.98581144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"7","first_page":"5818","last_page":"5829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559208035469055},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4888169467449188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4825665056705475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47997260093688965},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.44885727763175964},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44042202830314636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2705656886100769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559208035469055},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4888169467449188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4825665056705475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47997260093688965},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.44885727763175964},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44042202830314636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2705656886100769},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3367666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3367666","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G5304685825","display_name":null,"funder_award_id":"62376223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8584449773","display_name":null,"funder_award_id":"62136007","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":70,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2168356304","https://openalex.org/W2308318555","https://openalex.org/W2808867199","https://openalex.org/W2962721361","https://openalex.org/W2962837320","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2969510879","https://openalex.org/W2982770724","https://openalex.org/W2983156430","https://openalex.org/W2989604896","https://openalex.org/W2996583130","https://openalex.org/W3009213340","https://openalex.org/W3012573144","https://openalex.org/W3027585699","https://openalex.org/W3096609285","https://openalex.org/W3097651496","https://openalex.org/W3108648167","https://openalex.org/W3111586415","https://openalex.org/W3126133447","https://openalex.org/W3132757466","https://openalex.org/W3163623915","https://openalex.org/W3169422999","https://openalex.org/W3174017448","https://openalex.org/W3174396556","https://openalex.org/W3175373796","https://openalex.org/W3175577495","https://openalex.org/W3180725527","https://openalex.org/W3181759169","https://openalex.org/W3188824417","https://openalex.org/W3194193742","https://openalex.org/W4210690866","https://openalex.org/W4210820868","https://openalex.org/W4210925408","https://openalex.org/W4214522698","https://openalex.org/W4214724741","https://openalex.org/W4221153269","https://openalex.org/W4224304581","https://openalex.org/W4225308033","https://openalex.org/W4287891158","https://openalex.org/W4312711220","https://openalex.org/W4312906427","https://openalex.org/W4317829628","https://openalex.org/W4319163914","https://openalex.org/W4323921464","https://openalex.org/W4364321988","https://openalex.org/W4367721829","https://openalex.org/W4379929708","https://openalex.org/W4385484742","https://openalex.org/W4385569616","https://openalex.org/W4386083048","https://openalex.org/W4386245957","https://openalex.org/W4387092712","https://openalex.org/W4387886175","https://openalex.org/W4388505511","https://openalex.org/W4389776340","https://openalex.org/W4390189905","https://openalex.org/W4390872675","https://openalex.org/W4390874136","https://openalex.org/W6620707391","https://openalex.org/W6752402975","https://openalex.org/W6758126075","https://openalex.org/W6774983715","https://openalex.org/W6784094891","https://openalex.org/W6786531639","https://openalex.org/W6790180461","https://openalex.org/W6803550169","https://openalex.org/W6861163489"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recently,":[0],"Few-Shot":[1],"Object":[2],"Detection":[3],"(FSOD)":[4],"has":[5],"received":[6],"considerable":[7],"research":[8],"attention":[9],"as":[10,51],"a":[11,73,134,194],"strategy":[12],"for":[13],"reducing":[14],"reliance":[15],"on":[16,126,149,163],"extensively":[17],"labeled":[18],"bounding":[19],"boxes.":[20],"However,":[21],"current":[22],"approaches":[23],"encounter":[24],"significant":[25],"challenges":[26],"due":[27],"to":[28,129,192],"the":[29,37,44,60,64,112,127,150,154,164,178,190,199],"intrinsic":[30],"issue":[31],"of":[32,114,156,201],"incomplete":[33],"annotation":[34],"while":[35,110],"building":[36],"instance-level":[38],"training":[39,56],"benchmark.":[40],"In":[41],"such":[42],"cases,":[43],"instances":[45],"with":[46],"missing":[47],"annotations":[48],"are":[49,138],"regarded":[50],"background,":[52],"resulting":[53],"in":[54,198],"erroneous":[55],"gradients":[57,124],"back-propagated":[58],"through":[59],"detector,":[61],"thereby":[62],"compromising":[63],"detection":[65],"performance.":[66],"To":[67],"mitigate":[68],"this":[69],"challenge,":[70],"we":[71],"introduce":[72],"simple":[74],"and":[75,86,99,167,180,187],"highly":[76],"efficient":[77],"method":[78,90,174],"that":[79,172],"can":[80],"be":[81],"plugged":[82],"into":[83],"both":[84,177],"meta-learning-based":[85],"transfer-learning-based":[87],"methods.":[88,183],"Our":[89],"incorporates":[91],"two":[92],"innovative":[93],"components:":[94],"Confusing":[95],"Proposals":[96],"Separation":[97],"(CPS)":[98],"Affinity-Driven":[100],"Gradient":[101],"Relaxation":[102],"(ADGR).":[103],"Specifically,":[104],"CPS":[105],"effectively":[106],"isolates":[107],"confusing":[108],"negatives":[109,116],"ensuring":[111],"contribution":[113],"hard":[115],"during":[117],"model":[118],"fine-tuning;":[119],"ADGR":[120],"then":[121],"adjusts":[122],"their":[123,146],"based":[125],"affinity":[128],"different":[130],"category":[131],"prototypes.":[132],"As":[133],"result,":[135],"false-negative":[136],"samples":[137],"assigned":[139],"lower":[140],"weights":[141],"than":[142],"other":[143],"negatives,":[144],"alleviating":[145],"harmful":[147],"impacts":[148],"few-shot":[151],"detector":[152],"without":[153],"requirement":[155],"additional":[157],"learnable":[158],"parameters.":[159],"Extensive":[160],"experiments":[161],"conducted":[162],"PASCAL":[165],"VOC":[166],"MS-COCO":[168],"datasets":[169],"consistently":[170],"demonstrate":[171],"our":[173],"significantly":[175],"outperforms":[176],"baseline":[179,197],"recent":[181],"FSOD":[182],"Furthermore,":[184],"its":[185],"versatility":[186],"efficiency":[188],"suggest":[189],"potential":[191],"become":[193],"stronger":[195],"new":[196],"field":[200],"FSOD.":[202],"Code":[203],"is":[204],"available":[205],"at":[206],"https://github.com/Ybowei/UNP.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":10}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
