{"id":"https://openalex.org/W2919167158","doi":"https://doi.org/10.1109/tencon.2018.8650146","title":"Weakly Supervised Video Object Segmentation","display_name":"Weakly Supervised Video Object Segmentation","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919167158","doi":"https://doi.org/10.1109/tencon.2018.8650146","mag":"2919167158"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5100374818","display_name":"Yufei Wang","orcid":"https://orcid.org/0000-0002-0729-908X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology Sino-Singapore International Joint Research Institute, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology Sino-Singapore International Joint Research Institute, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101059043","display_name":"Yongjiang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjiang Hu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology Sino-Singapore International Joint Research Institute, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology Sino-Singapore International Joint Research Institute, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Gold Coast, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018666047","display_name":"Junhu Wang","orcid":"https://orcid.org/0000-0003-2962-1604"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junhu Wang","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Gold Coast, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18866209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0315","last_page":"0320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8113892674446106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267228364944458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6929395198822021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6622012853622437},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5590949058532715},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5560433864593506},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5464436411857605},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5460127592086792},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.531618058681488},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5208195447921753},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.5059825778007507},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4996192455291748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4594898819923401},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4309902787208557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19130566716194153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16921624541282654},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0658993124961853}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8113892674446106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267228364944458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6929395198822021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6622012853622437},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5590949058532715},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5560433864593506},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5464436411857605},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5460127592086792},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.531618058681488},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5208195447921753},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.5059825778007507},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4996192455291748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4594898819923401},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4309902787208557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19130566716194153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16921624541282654},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0658993124961853},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tencon.2018.8650146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/385235","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/385235","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5099999904632568,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W589665618","https://openalex.org/W1673310716","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2009874829","https://openalex.org/W2016163842","https://openalex.org/W2030346542","https://openalex.org/W2047839530","https://openalex.org/W2118246710","https://openalex.org/W2143516773","https://openalex.org/W2212077366","https://openalex.org/W2337429362","https://openalex.org/W2460260369","https://openalex.org/W2463175074","https://openalex.org/W2470139095","https://openalex.org/W2560474170","https://openalex.org/W2562457735","https://openalex.org/W2564998703","https://openalex.org/W2585592883","https://openalex.org/W2591696292","https://openalex.org/W2610147486","https://openalex.org/W2737008123","https://openalex.org/W2750515003","https://openalex.org/W2889986507","https://openalex.org/W2890447039","https://openalex.org/W2963131444","https://openalex.org/W2963150697","https://openalex.org/W2963548592","https://openalex.org/W2963732700","https://openalex.org/W2964121744","https://openalex.org/W2967890649","https://openalex.org/W6617526114","https://openalex.org/W6637131181","https://openalex.org/W6639102338","https://openalex.org/W6763688970"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,87,121],"novel":[4],"approach":[5,132],"of":[6,38,91,94,100,113],"weakly":[7],"supervised":[8],"video":[9,50],"object":[10,42,67,95,110],"segmentation,":[11],"which":[12],"only":[13],"needs":[14],"one":[15],"pixel":[16],"to":[17,27,45,78,106],"guide":[18],"the":[19,29,46,55,58,63,108,125,130],"segmentation.":[20],"We":[21,116],"use":[22],"two":[23],"deep":[24],"neural":[25],"networks":[26],"get":[28,107],"instance-level":[30],"semantic":[31,56],"segmentation":[32,111],"masks":[33],"and":[34,62,72,74,97,124],"optical":[35,59],"flow":[36,60],"maps":[37,61],"each":[39,79,114],"frame.":[40,80,115],"An":[41],"probability":[43,68,96],"map":[44,69],"first":[47],"frame":[48],"in":[49,136],"is":[51,104],"generated":[52],"by":[53],"combining":[54],"masks,":[57],"guiding":[64],"pixel.":[65],"The":[66],"propagates":[70],"forward":[71],"backward":[73],"becomes":[75],"more":[76],"accurate":[77],"Finally,":[81],"an":[82],"energy":[83],"minimization":[84],"problem":[85],"on":[86,120],"function":[88],"that":[89,129],"consists":[90],"unary":[92],"term":[93],"pairwise":[98],"terms":[99],"label":[101],"smoothness":[102],"potentials":[103],"solved":[105],"pixel-wise":[109],"mask":[112],"evaluate":[117],"our":[118],"method":[119],"benchmark":[122],"dataset,":[123],"experimental":[126],"results":[127],"show":[128],"proposed":[131],"achieves":[133],"impressive":[134],"performance":[135],"comparison":[137],"with":[138],"state-of-the-art":[139],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
