{"id":"https://openalex.org/W2624650145","doi":"https://doi.org/10.1109/tpami.2017.2713785","title":"Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation","display_name":"Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation","publication_year":2017,"publication_date":"2017-06-08","ids":{"openalex":"https://openalex.org/W2624650145","doi":"https://doi.org/10.1109/tpami.2017.2713785","mag":"2624650145","pmid":"https://pubmed.ncbi.nlm.nih.gov/28613162"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2713785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2713785","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.02189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000886289","display_name":"Fatemeh Sadat Saleh","orcid":null},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Fatemeh Sadat Saleh","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003777910","display_name":"Mohammad Sadegh Aliakbarian","orcid":"https://orcid.org/0000-0003-3948-6418"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Sadegh Aliakbarian","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049300388","display_name":"Mathieu Salzmann","orcid":"https://orcid.org/0000-0002-8347-8637"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mathieu Salzmann","raw_affiliation_strings":["CVLab, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"CVLab, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060335798","display_name":"Lars Petersson","orcid":"https://orcid.org/0000-0002-0103-1904"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lars Petersson","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540588","display_name":"Jos\u00e9 M. Alvarez","orcid":"https://orcid.org/0000-0002-7535-6322"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jose M. Alvarez","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071663279","display_name":"Stephen Jay Gould","orcid":"https://orcid.org/0000-0001-8929-7899"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephen Gould","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University and Data61-CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000886289"],"corresponding_institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":2.4048,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93647619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"6","first_page":"1382","last_page":"1396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9987999796867371,"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":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8109185695648193},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7947851419448853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7896980047225952},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7156314849853516},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6523268222808838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6319563388824463},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5066221356391907},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.490906298160553},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47236496210098267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44023001194000244},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4388115108013153},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43099427223205566},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41142839193344116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40580353140830994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14654409885406494},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.07492867112159729}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8109185695648193},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7947851419448853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7896980047225952},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7156314849853516},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6523268222808838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6319563388824463},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5066221356391907},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.490906298160553},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47236496210098267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44023001194000244},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4388115108013153},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43099427223205566},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41142839193344116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40580353140830994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14654409885406494},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.07492867112159729}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tpami.2017.2713785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2713785","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28613162","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28613162","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1706.02189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02189","pdf_url":"https://arxiv.org/pdf/1706.02189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:259161","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/259161","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/195723","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/195723","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.02189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02189","pdf_url":"https://arxiv.org/pdf/1706.02189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W105270443","https://openalex.org/W589665618","https://openalex.org/W611457968","https://openalex.org/W1495267108","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1783315696","https://openalex.org/W1861492603","https://openalex.org/W1899185266","https://openalex.org/W1903029394","https://openalex.org/W1915480574","https://openalex.org/W1923697677","https://openalex.org/W1927251054","https://openalex.org/W1930528368","https://openalex.org/W1931270512","https://openalex.org/W1938976761","https://openalex.org/W1945608308","https://openalex.org/W1973054923","https://openalex.org/W1991367009","https://openalex.org/W1993433125","https://openalex.org/W1994488211","https://openalex.org/W2010181071","https://openalex.org/W2017691720","https://openalex.org/W2022508996","https://openalex.org/W2026581312","https://openalex.org/W2037227137","https://openalex.org/W2066624635","https://openalex.org/W2076756823","https://openalex.org/W2086225343","https://openalex.org/W2105297725","https://openalex.org/W2113708607","https://openalex.org/W2116877738","https://openalex.org/W2117539524","https://openalex.org/W2124592697","https://openalex.org/W2133515615","https://openalex.org/W2144794286","https://openalex.org/W2155893237","https://openalex.org/W2158427031","https://openalex.org/W2161185676","https://openalex.org/W2161236525","https://openalex.org/W2170942078","https://openalex.org/W2203062554","https://openalex.org/W2204999836","https://openalex.org/W2221898772","https://openalex.org/W2291422229","https://openalex.org/W2295107390","https://openalex.org/W2306289963","https://openalex.org/W2309085612","https://openalex.org/W2310700882","https://openalex.org/W2501943378","https://openalex.org/W2516803306","https://openalex.org/W2519610629","https://openalex.org/W2520746254","https://openalex.org/W2949192504","https://openalex.org/W2950094539","https://openalex.org/W2950468556","https://openalex.org/W2951221812","https://openalex.org/W2951388280","https://openalex.org/W2952047432","https://openalex.org/W2952793010","https://openalex.org/W2962841641","https://openalex.org/W2963911037","https://openalex.org/W2963996492","https://openalex.org/W4252621450","https://openalex.org/W4308909683","https://openalex.org/W6619034759","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6639927594","https://openalex.org/W6640295612","https://openalex.org/W6640312129","https://openalex.org/W6640383297","https://openalex.org/W6653248861","https://openalex.org/W6680009749","https://openalex.org/W6688657083","https://openalex.org/W6698321936"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Pixel-level":[0],"annotations":[1],"are":[2],"expensive":[3],"and":[4],"time":[5],"consuming":[6],"to":[7,29,41,56,80,121],"obtain.":[8],"Hence,":[9],"weak":[10],"supervision":[11],"using":[12,33],"only":[13],"image":[14,34],"tags":[15],"could":[16],"have":[17,27],"a":[18,77,115,135,149],"significant":[19],"impact":[20],"in":[21,146],"semantic":[22,157],"segmentation.":[23],"Recently,":[24],"CNN-based":[25],"methods":[26],"proposed":[28],"fine-tune":[30],"pre-trained":[31,86],"networks":[32,85],"tags.":[35],"Without":[36],"additional":[37],"information,":[38],"this":[39],"leads":[40],"poor":[42],"localization":[43,137],"accuracy.":[44],"This":[45],"problem,":[46],"however,":[47],"was":[48],"alleviated":[49],"by":[50,125],"making":[51],"use":[52],"of":[53,90,110,114,128],"objectness":[54,96],"priors":[55,62],"generate":[57],"foreground/background":[58,102,129],"masks.":[59],"Unfortunately":[60],"these":[61,144],"either":[63],"require":[64],"pixel-level":[65],"annotations/bounding":[66],"boxes,":[67],"or":[68],"still":[69],"yield":[70],"inaccurate":[71],"object":[72,91],"boundaries.":[73],"Here,":[74],"we":[75],"propose":[76],"novel":[78],"method":[79],"extract":[81],"accurate":[82],"masks":[83,103,124,145],"from":[84,107,134],"for":[87],"the":[88,108,126],"task":[89],"recognition,":[92],"thus":[93],"forgoing":[94],"external":[95],"modules.":[97],"We":[98,117],"first":[99],"show":[100,119],"how":[101,120],"can":[104],"be":[105],"obtained":[106],"activations":[109],"higher-level":[111],"convolutional":[112],"layers":[113],"network.":[116,138],"then":[118],"obtain":[122],"multi-class":[123],"fusion":[127],"ones":[130],"with":[131,148],"information":[132],"extracted":[133],"weakly-supervised":[136,150,156],"Our":[139],"experiments":[140],"evidence":[141],"that":[142],"exploiting":[143],"conjunction":[147],"training":[151],"loss":[152],"yields":[153],"state-of-the-art":[154],"tag-based":[155],"segmentation":[158],"results.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":12}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
