{"id":"https://openalex.org/W4406861160","doi":"https://doi.org/10.1109/vcip63160.2024.10849892","title":"Generative Representation and Discriminative Classification for Few-shot Open-set Object Detection","display_name":"Generative Representation and Discriminative Classification for Few-shot Open-set Object Detection","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406861160","doi":"https://doi.org/10.1109/vcip63160.2024.10849892"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":null,"display_name":"Peixue Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peixue Shen","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027057491","display_name":"Ruoqi Li","orcid":"https://orcid.org/0000-0003-3730-9370"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoqi Li","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668475","display_name":"Yan Luo","orcid":"https://orcid.org/0000-0002-1394-4452"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Luo","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101840676","display_name":"Yiru Zhao","orcid":"https://orcid.org/0000-0003-2248-4440"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiru Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051898862","display_name":"Chao Gao","orcid":"https://orcid.org/0000-0003-4023-0970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["China Pacific Insurance(Group) Co., Ltd.,Shanghai,China,200030"],"affiliations":[{"raw_affiliation_string":"China Pacific Insurance(Group) Co., Ltd.,Shanghai,China,200030","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101560228","display_name":"Chongyang Zhang","orcid":"https://orcid.org/0009-0007-8830-0903"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25764011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9916999936103821,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9916999936103821,"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":0.989799976348877,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9868999719619751,"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/discriminative-model","display_name":"Discriminative model","score":0.8449364900588989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917949318885803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.687375545501709},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6724069118499756},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6450144052505493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561199188232422},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5417523980140686},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5368234515190125},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5052092671394348},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.4902387261390686},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4807465076446533},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.43555542826652527},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4167073965072632},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36295467615127563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3358505666255951},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17820867896080017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10836437344551086}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8449364900588989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917949318885803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.687375545501709},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6724069118499756},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6450144052505493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561199188232422},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5417523980140686},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5368234515190125},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5052092671394348},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.4902387261390686},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4807465076446533},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.43555542826652527},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4167073965072632},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36295467615127563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3358505666255951},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17820867896080017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10836437344551086},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/vcip63160.2024.10849892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2901114541","https://openalex.org/W2963306805","https://openalex.org/W2963611739","https://openalex.org/W2963875483","https://openalex.org/W2973218493","https://openalex.org/W3009436130","https://openalex.org/W3176709420","https://openalex.org/W3177034761","https://openalex.org/W3217535672","https://openalex.org/W4312408105","https://openalex.org/W4312983455","https://openalex.org/W4319068933","https://openalex.org/W4386047758","https://openalex.org/W4391853899","https://openalex.org/W4404624821","https://openalex.org/W6620707391","https://openalex.org/W6779897968","https://openalex.org/W6809902071","https://openalex.org/W6849600998"],"related_works":["https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W2128027845","https://openalex.org/W4386184937","https://openalex.org/W4394728283","https://openalex.org/W1493875009","https://openalex.org/W2105231718","https://openalex.org/W4388844349","https://openalex.org/W2019680624"],"abstract_inverted_index":{"Open-Set":[0,157],"Object":[1],"Detection":[2],"(OSOD)":[3],"aims":[4],"to":[5,11,28,52,59,93,124],"train":[6],"detectors":[7],"on":[8,159],"closed-set":[9],"datasets":[10],"detect":[12],"known":[13,35,99,126],"objects":[14,18],"and":[15,36,118,127,149],"identify":[16],"unknown":[17,37,45,112,128],"in":[19,41,145,155],"open-set":[20],"conditions.":[21],"Traditional":[22],"discriminative":[23,57,103],"classifier-based":[24],"OSOD":[25,77,138],"methods":[26],"struggle":[27],"accurately":[29],"learn":[30],"the":[31,42,61,83,102,146,160],"decision":[32],"boundary":[33],"between":[34],"classes,":[38],"often":[39],"resulting":[40],"misclassification":[43,64],"of":[44,63,111,152],"samples.":[46],"In":[47,101],"this":[48],"work,":[49],"we":[50,87],"aim":[51],"combine":[53],"generative":[54,84],"representation":[55,85],"with":[56],"classification":[58,72,104],"alleviate":[60],"issue":[62],"by":[65,106,141],"transforming":[66],"known-unknown":[67],"recognition":[68],"into":[69],"a":[70,108,142,150],"binary":[71],"problem.":[73],"The":[74],"proposed":[75],"two-stage":[76],"approach":[78],"proceeds":[79],"as":[80],"follows:":[81],"during":[82],"stage,":[86,105],"employ":[88],"Class-Conditioned":[89],"Normalizing":[90],"Flow":[91],"(CCNF)":[92],"establish":[94],"distribution":[95],"mapping":[96],"for":[97],"each":[98],"category;":[100],"utilizing":[107],"small":[109],"number":[110],"class":[113],"samples,":[114],"semi-push-pull":[115],"supervised":[116],"learning":[117,121],"entropy":[119],"contrast":[120],"are":[122],"used":[123],"separate":[125],"classes.":[129],"Extensive":[130],"experiments":[131],"demonstrate":[132],"that":[133],"our":[134],"method":[135],"significantly":[136],"enhances":[137],"performance,":[139],"evidenced":[140],"25.8%-28.6%":[143],"reduction":[144],"Wilderness":[147],"Index":[148],"decrease":[151],"4391-8870":[153],"units":[154],"Absolute":[156],"Errors":[158],"test":[161],"set":[162],"VOC-COCO-T1.":[163]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
