{"id":"https://openalex.org/W4386076662","doi":"https://doi.org/10.1109/cvpr52729.2023.01480","title":"Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars","display_name":"Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386076662","doi":"https://doi.org/10.1109/cvpr52729.2023.01480"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5041357642","display_name":"Taoseef Ishtiak","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Taoseef Ishtiak","raw_affiliation_strings":["Carleton University,Ottawa,Canada","Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030687463","display_name":"Qing En","orcid":"https://orcid.org/0000-0003-0173-7437"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qing En","raw_affiliation_strings":["Carleton University,Ottawa,Canada","Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]},{"id":"https://openalex.org/I109736498","display_name":"Canadian Institute for Advanced Research","ror":"https://ror.org/01sdtdd95","country_code":"CA","type":"facility","lineage":["https://openalex.org/I109736498"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["Carleton University,Ottawa,Canada","Carleton University, Ottawa, Canada","CIFAR AI Chair, Amii, Canada"],"affiliations":[{"raw_affiliation_string":"Carleton University,Ottawa,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"CIFAR AI Chair, Amii, Canada","institution_ids":["https://openalex.org/I109736498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041357642"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.8609,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75527219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"15424","last_page":"15433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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":0.995199978351593,"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":0.8093500137329102},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7600928544998169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7255961894989014},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5969699621200562},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5845537185668945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5010716915130615},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47175461053848267},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4653552174568176},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4532996714115143},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4495863914489746},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4474852979183197},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4467598795890808},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43566563725471497},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4325796961784363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39506855607032776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093500137329102},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7600928544998169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7255961894989014},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5969699621200562},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5845537185668945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5010716915130615},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47175461053848267},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4653552174568176},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4532996714115143},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4495863914489746},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4474852979183197},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4467598795890808},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43566563725471497},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4325796961784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39506855607032776},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1509525679","https://openalex.org/W1861492603","https://openalex.org/W1989684337","https://openalex.org/W1991367009","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2105628432","https://openalex.org/W2121927366","https://openalex.org/W2124351162","https://openalex.org/W2125215748","https://openalex.org/W2194775991","https://openalex.org/W2317851288","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2552414813","https://openalex.org/W2555182955","https://openalex.org/W2574253917","https://openalex.org/W2744404335","https://openalex.org/W2785325870","https://openalex.org/W2894666165","https://openalex.org/W2945402980","https://openalex.org/W2948672349","https://openalex.org/W2954087924","https://openalex.org/W2963013250","https://openalex.org/W2963150697","https://openalex.org/W2963420272","https://openalex.org/W2963775509","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2963921921","https://openalex.org/W2964028976","https://openalex.org/W2970856480","https://openalex.org/W2981793666","https://openalex.org/W2993182889","https://openalex.org/W3005680577","https://openalex.org/W3034239110","https://openalex.org/W3034949383","https://openalex.org/W3035524453","https://openalex.org/W3085685449","https://openalex.org/W3093600664","https://openalex.org/W3106546328","https://openalex.org/W3106670560","https://openalex.org/W3113410735","https://openalex.org/W3158120491","https://openalex.org/W3165924482","https://openalex.org/W3168822201","https://openalex.org/W3169575272","https://openalex.org/W3176692018","https://openalex.org/W3180169285","https://openalex.org/W3204171527","https://openalex.org/W4214773923","https://openalex.org/W4226367203","https://openalex.org/W4287120947","https://openalex.org/W4312548937","https://openalex.org/W4313145515","https://openalex.org/W6639102338","https://openalex.org/W6675869821","https://openalex.org/W6699915822","https://openalex.org/W6700872662","https://openalex.org/W6701655646","https://openalex.org/W6747899497","https://openalex.org/W6754310236","https://openalex.org/W6767465851","https://openalex.org/W6772372853","https://openalex.org/W6774314701","https://openalex.org/W6775515071","https://openalex.org/W6780305268","https://openalex.org/W6783609924","https://openalex.org/W6784930956","https://openalex.org/W6796303064"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2371519352"],"abstract_inverted_index":{"Instance":[0],"segmentation":[1,30,39,53,60,122,152],"seeks":[2],"to":[3,35,56,93,115],"identify":[4],"and":[5,68,144,164],"segment":[6],"each":[7],"object":[8,104],"from":[9],"images,":[10],"which":[11],"often":[12],"relies":[13],"on":[14,78,148],"a":[15,49,63,75,88,107],"large":[16],"number":[17,65],"of":[18,66,120],"dense":[19],"annotations":[20],"for":[21,99],"model":[22,123],"training.":[23],"To":[24,135],"alleviate":[25],"this":[26,45],"burden,":[27],"unsupervised":[28,51,58,102],"instance":[29,38,52,59,151],"methods":[31],"have":[32],"been":[33],"developed":[34],"train":[36],"class-agnostic":[37],"models":[40],"without":[41,83],"any":[42],"annotation.":[43],"In":[44],"paper,":[46],"we":[47,140],"propose":[48],"novel":[50,89],"approach,":[54],"Exemplar-FreeSOLO,":[55,139],"enhance":[57,116],"by":[61,124],"exploiting":[62,125],"limited":[64],"unannotated":[67],"unsegmented":[69],"exemplars.":[70],"The":[71,154],"proposed":[72,138,160],"framework":[73],"offers":[74],"new":[76,108],"perspective":[77],"directly":[79],"perceiving":[80],"top-down":[81,96],"information":[82],"annotations.":[84],"Specifically,":[85],"Exemplar-FreeSOLO":[86],"introduces":[87],"exemplar-knowledge":[90],"abstraction":[91],"module":[92,112],"acquire":[94],"beneficial":[95],"guidance":[97,129],"knowledge":[98,130],"instances":[100],"using":[101],"exemplar":[103,109],"extraction.":[105],"Moreover,":[106],"embedding":[110,133],"contrastive":[111,127],"is":[113,162],"designed":[114],"the":[117,121,126,132,137,159,166],"discriminative":[118],"capability":[119],"exemplar-based":[128],"in":[131],"space.":[134],"evaluate":[136],"conduct":[141],"comprehensive":[142],"experiments":[143],"perform":[145],"in-depth":[146],"analyses":[147],"three":[149],"image":[150],"datasets.":[153],"experimental":[155],"results":[156],"demonstrate":[157],"that":[158],"approach":[161],"effective":[163],"outperforms":[165],"state-of-the-art":[167],"methods.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-17T23:14:22.571179","created_date":"2025-10-10T00:00:00"}