{"id":"https://openalex.org/W3091093964","doi":"https://doi.org/10.1109/icip40778.2020.9190782","title":"Proposal-Based Instance Segmentation With Point Supervision","display_name":"Proposal-Based Instance Segmentation With Point Supervision","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091093964","doi":"https://doi.org/10.1109/icip40778.2020.9190782","mag":"3091093964"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5028905152","display_name":"Issam Laradji","orcid":"https://orcid.org/0000-0002-9713-3269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Issam H. Laradji","raw_affiliation_strings":["Element AI, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Element AI, Montreal, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072851389","display_name":"Negar Rostamzadeh","orcid":"https://orcid.org/0000-0002-9638-4664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Negar Rostamzadeh","raw_affiliation_strings":["Element AI, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Element AI, Montreal, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103170403","display_name":"Pedro O. Pinheiro","orcid":"https://orcid.org/0000-0002-8302-0108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro O. Pinheiro","raw_affiliation_strings":["Element AI, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Element AI, Montreal, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004903288","display_name":"David V\u00e1zquez","orcid":"https://orcid.org/0000-0002-2845-8158"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Vazquez","raw_affiliation_strings":["Element AI, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Element AI, Montreal, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101466411","display_name":"Mark Schmidt","orcid":"https://orcid.org/0000-0003-1129-5273"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark Schmidt","raw_affiliation_strings":["Dept. CS, University of British Columbia, Vancouver, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. CS, University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6484,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92986062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2126","last_page":"2130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.8394383192062378},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.823794424533844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828640341758728},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7475082874298096},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7298491597175598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7219561338424683},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5648114681243896},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5147154927253723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48394492268562317},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45353883504867554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4222121834754944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15920424461364746}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.8394383192062378},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.823794424533844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828640341758728},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7475082874298096},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7298491597175598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7219561338424683},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5648114681243896},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5147154927253723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48394492268562317},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45353883504867554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4222121834754944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15920424461364746},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W130423592","https://openalex.org/W260801291","https://openalex.org/W611457968","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2108598243","https://openalex.org/W2124351162","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2322480645","https://openalex.org/W2340897893","https://openalex.org/W2341555367","https://openalex.org/W2483076098","https://openalex.org/W2552414813","https://openalex.org/W2605161420","https://openalex.org/W2883929025","https://openalex.org/W2932869281","https://openalex.org/W2953433552","https://openalex.org/W2955382613","https://openalex.org/W2962676885","https://openalex.org/W2963150697","https://openalex.org/W2963311325","https://openalex.org/W2963458902","https://openalex.org/W2963795442","https://openalex.org/W2964121744","https://openalex.org/W2964211168","https://openalex.org/W3023970783","https://openalex.org/W6619034759","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6700594562","https://openalex.org/W6736147098","https://openalex.org/W6753864217","https://openalex.org/W6765150368"],"related_works":["https://openalex.org/W1663079876","https://openalex.org/W2069133146","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2159686533","https://openalex.org/W4242339654","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W2119567889","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Instance":[0],"segmentation":[1,40,85,147],"methods":[2,124,132],"often":[3],"require":[4],"costly":[5],"per-pixel":[6],"labels.":[7],"We":[8,99],"propose":[9],"a":[10,27,48,54,134,141],"method":[11,116],"called":[12],"WISE-Net":[13],"that":[14,58,71,114],"only":[15,23],"requires":[16],"point-level":[17,149],"annotations.":[18],"During":[19],"training,":[20],"the":[21,34,60,79,88],"model":[22],"has":[24],"access":[25],"to":[26,37,122],"single":[28],"pixel":[29],"label":[30],"per":[31],"object,":[32],"yet":[33],"task":[35],"is":[36],"output":[38],"full":[39],"masks.":[41],"To":[42],"address":[43],"this":[44],"challenge,":[45],"we":[46],"construct":[47],"network":[49,56,69],"with":[50,96,133,148],"two":[51],"branches:":[52],"(1)":[53,117],"10-calization":[55],"(L-Net)":[57],"predicts":[59],"location":[61],"of":[62,78],"each":[63],"object;":[64],"and":[65,108,138],"(2)":[66,128],"an":[67,73],"embedding":[68,74],"(E-Net)":[70],"learns":[72],"space":[75],"where":[76],"pixels":[77,95],"same":[80],"object":[81],"are":[82,91],"close.":[83],"The":[84,111],"masks":[86],"for":[87,145],"located":[89],"objects":[90],"obtained":[92],"by":[93],"grouping":[94],"similar":[97],"embeddings.":[98],"evaluate":[100],"our":[101,115],"approach":[102],"on":[103],"PASCAL":[104],"VOC,":[105],"COCO,":[106],"KITTI":[107],"CityScapes":[109],"datasets.":[110],"experiments":[112],"show":[113],"obtains":[118],"competitive":[119],"results":[120],"compared":[121],"fully-supervised":[123],"in":[125],"certain":[126],"scenarios;":[127],"outperforms":[129],"fully-and":[130],"weakly-supervised":[131],"fixed":[135],"annotation":[136],"budget;":[137],"(3)":[139],"establishes":[140],"first":[142],"strong":[143],"baseline":[144],"instance":[146],"supervision.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
