{"id":"https://openalex.org/W2474215946","doi":null,"title":"Learning Class-Specific Segmentation","display_name":"Learning Class-Specific Segmentation","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2474215946","mag":"2474215946"},"language":"en","primary_location":{"id":"mag:2474215946","doi":null,"is_oa":false,"landing_page_url":"https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FirstYearReport.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5002831957","display_name":"Jamie Shotton","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jamie Shotton","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5002831957"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7157999873161316,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7157999873161316,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.21719999611377716,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.021800000220537186,"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/foreground-background-segmentation","display_name":"foreground-background segmentation","score":0.9739999771118164},{"id":"https://openalex.org/keywords/shape-models","display_name":"shape models","score":0.9010000228881836},{"id":"https://openalex.org/keywords/appearance-model","display_name":"appearance model","score":0.984000027179718},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"belief propagation","score":0.7289999723434448},{"id":"https://openalex.org/keywords/object-segmentation","display_name":"object segmentation","score":0.39500001072883606}],"concepts":[{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.7797495722770691},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7598204016685486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7218092679977417},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.708501935005188},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6660349369049072},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6428437829017639},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6096787452697754},{"id":"https://openalex.org/C104319648","wikidata":"https://www.wikidata.org/wiki/Q1412040","display_name":"Figure\u2013ground","level":3,"score":0.5472556948661804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5471817255020142},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5456403493881226},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5152471661567688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5097915530204773},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.496869832277298},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4965878129005432},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4552936851978302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4460933804512024},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42956188321113586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4226801097393036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39958304166793823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17908570170402527},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2474215946","doi":null,"is_oa":false,"landing_page_url":"https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FirstYearReport.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W174126042","https://openalex.org/W1509562192","https://openalex.org/W1516111018","https://openalex.org/W1528423721","https://openalex.org/W1532311179","https://openalex.org/W1541642243","https://openalex.org/W1546226638","https://openalex.org/W1546934144","https://openalex.org/W1548595933","https://openalex.org/W1554663460","https://openalex.org/W1560512119","https://openalex.org/W1574125631","https://openalex.org/W1578226009","https://openalex.org/W1603829220","https://openalex.org/W1607217798","https://openalex.org/W1673564859","https://openalex.org/W1676552347","https://openalex.org/W1699734612","https://openalex.org/W1785730614","https://openalex.org/W1949116567","https://openalex.org/W1958762911","https://openalex.org/W1970269179","https://openalex.org/W2004296553","https://openalex.org/W2005433550","https://openalex.org/W2019599312","https://openalex.org/W2044407170","https://openalex.org/W2049633694","https://openalex.org/W2056313036","https://openalex.org/W2074093732","https://openalex.org/W2091565619","https://openalex.org/W2098083083","https://openalex.org/W2098663280","https://openalex.org/W2098678088","https://openalex.org/W2103334940","https://openalex.org/W2103917701","https://openalex.org/W2104974755","https://openalex.org/W2109799729","https://openalex.org/W2111308925","https://openalex.org/W2112328181","https://openalex.org/W2117138270","https://openalex.org/W2119747362","https://openalex.org/W2119799051","https://openalex.org/W2123380930","https://openalex.org/W2123782934","https://openalex.org/W2124087378","https://openalex.org/W2124351162","https://openalex.org/W2124386111","https://openalex.org/W2128554449","https://openalex.org/W2129116707","https://openalex.org/W2131172512","https://openalex.org/W2131846894","https://openalex.org/W2137154683","https://openalex.org/W2137680370","https://openalex.org/W2140000690","https://openalex.org/W2140200866","https://openalex.org/W2140447468","https://openalex.org/W2141376824","https://openalex.org/W2145023731","https://openalex.org/W2147237076","https://openalex.org/W2148821982","https://openalex.org/W2148852318","https://openalex.org/W2149760002","https://openalex.org/W2151103935","https://openalex.org/W2154791445","https://openalex.org/W2158122241","https://openalex.org/W2159372453","https://openalex.org/W2160225842","https://openalex.org/W2162708558","https://openalex.org/W2164877691","https://openalex.org/W2165497495","https://openalex.org/W2166770390","https://openalex.org/W2169551590","https://openalex.org/W2799061466","https://openalex.org/W3140968660"],"related_works":["https://openalex.org/W7099888523","https://openalex.org/W7081692021","https://openalex.org/W2151946153","https://openalex.org/W2111769001","https://openalex.org/W2151341080","https://openalex.org/W2736327337","https://openalex.org/W2097007083","https://openalex.org/W2153515241","https://openalex.org/W2102621940","https://openalex.org/W1982935286"],"abstract_inverted_index":{"This":[0],"report":[1],"details":[2],"the":[3],"work":[4],"undertaken":[5],"this":[6],"year":[7],"towards":[8],"class-specific":[9],"segmentation.":[10],"The":[11],"aim":[12],"is":[13,47,86],"to":[14,19,49,77],"take":[15],"an":[16,21],"image":[17],"known":[18],"contain":[20],"object":[22],"of":[23,40,59,89,97],"a":[24,32,65,87,92,105],"particular":[25],"class,":[26],"and":[27,42,52,100,104],"return":[28],"for":[29],"each":[30],"pixel":[31],"figure-ground":[33],"segmentation":[34,45],"value.":[35],"A":[36],"training":[37],"corpus":[38],"consisting":[39],"images":[41],"their":[43],"ground-truth":[44],"masks":[46],"used":[48],"learn":[50],"shape":[51,56,61,99],"appearance":[53,84,101],"models.":[54],"Our":[55,83],"model":[57,85],"consists":[58],"local":[60],"patches":[62],"learned":[63,73],"using":[64],"new":[66],"translationally":[67],"invariant":[68],"clustering":[69],"algorithm,":[70],"together":[71],"with":[72],"adjacency":[74],"statistics":[75],"applied":[76],"enforce":[78],"consistency":[79],"between":[80],"neighbouring":[81],"patches.":[82,90],"database":[88],"Given":[91],"novel":[93],"test":[94],"image,":[95],"hypotheses":[96],"underlying":[98],"are":[102],"constructed,":[103],"final":[106],"belief":[107],"propagation":[108],"algorithm":[109],"enforces":[110],"global":[111],"consistency.":[112]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-07-22T00:00:00"}