{"id":"https://openalex.org/W2981419144","doi":"https://doi.org/10.1007/978-3-030-33676-9_32","title":"Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation","display_name":"Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981419144","doi":"https://doi.org/10.1007/978-3-030-33676-9_32","mag":"2981419144"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-33676-9_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33676-9_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5008066954","display_name":"Nikolai Ufer","orcid":"https://orcid.org/0000-0002-5166-2843"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nikolai Ufer","raw_affiliation_strings":["Heidelberg University, HCI/IWR, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, HCI/IWR, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013847587","display_name":"Kam To Lui","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kam To Lui","raw_affiliation_strings":["Heidelberg University, HCI/IWR, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, HCI/IWR, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110696266","display_name":"Katja Schwarz","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katja Schwarz","raw_affiliation_strings":["Heidelberg University, HCI/IWR, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, HCI/IWR, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028405919","display_name":"Paul Warkentin","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Warkentin","raw_affiliation_strings":["Heidelberg University, HCI/IWR, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, HCI/IWR, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084415727","display_name":"Bj\u00f6rn Ommer","orcid":"https://orcid.org/0000-0003-0766-120X"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Ommer","raw_affiliation_strings":["Heidelberg University, HCI/IWR, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg University, HCI/IWR, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008066954"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7689,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74754694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"470"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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":0.8520973920822144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6585168242454529},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5699905753135681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5618898868560791},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5471871495246887},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5448046922683716},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.540864884853363},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5347176194190979},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5241451859474182},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48413142561912537},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4395427107810974},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.414399117231369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2748397886753082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0690978467464447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8520973920822144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6585168242454529},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5699905753135681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5618898868560791},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5471871495246887},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5448046922683716},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.540864884853363},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5347176194190979},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5241451859474182},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48413142561912537},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4395427107810974},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.414399117231369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2748397886753082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0690978467464447},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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:10.1007/978-3-030-33676-9_32","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-33676-9_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W135305794","https://openalex.org/W603908379","https://openalex.org/W764651262","https://openalex.org/W1272423708","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1926639317","https://openalex.org/W1984034752","https://openalex.org/W1992989752","https://openalex.org/W2032997833","https://openalex.org/W2033819227","https://openalex.org/W2086052791","https://openalex.org/W2090518410","https://openalex.org/W2103584248","https://openalex.org/W2104408738","https://openalex.org/W2108598243","https://openalex.org/W2115733720","https://openalex.org/W2124861766","https://openalex.org/W2126080861","https://openalex.org/W2128409098","https://openalex.org/W2151103935","https://openalex.org/W2157364932","https://openalex.org/W2160847065","https://openalex.org/W2161236525","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164918853","https://openalex.org/W2165949425","https://openalex.org/W2412002662","https://openalex.org/W2435623039","https://openalex.org/W2464606141","https://openalex.org/W2474531669","https://openalex.org/W2593948489","https://openalex.org/W2601564443","https://openalex.org/W2604233003","https://openalex.org/W2747550417","https://openalex.org/W2797333655","https://openalex.org/W2886782161","https://openalex.org/W2949846184","https://openalex.org/W2951309005","https://openalex.org/W2962915133","https://openalex.org/W2963020784","https://openalex.org/W2963325280","https://openalex.org/W2963840672","https://openalex.org/W2964141676","https://openalex.org/W2964188292","https://openalex.org/W2964213755","https://openalex.org/W2982697283","https://openalex.org/W4205425515","https://openalex.org/W4206610958","https://openalex.org/W6602254124","https://openalex.org/W6618372016"],"related_works":["https://openalex.org/W4388045316","https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W1510159504","https://openalex.org/W2253069048","https://openalex.org/W140709781"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}