{"id":"https://openalex.org/W4362564491","doi":"https://doi.org/10.1145/3577164.3577182","title":"Self-Supervised Superpixel Correspondences For Video Object Segmentation","display_name":"Self-Supervised Superpixel Correspondences For Video Object Segmentation","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4362564491","doi":"https://doi.org/10.1145/3577164.3577182"},"language":"en","primary_location":{"id":"doi:10.1145/3577164.3577182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","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/A5075651747","display_name":"Clement Tan","orcid":"https://orcid.org/0000-0001-9622-4831"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Clement Tan","raw_affiliation_strings":["Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore","School of Computer Science and Engineering, Nanyang Technological University, Singapore and Agency for Science, Technology and Research (A*STAR), Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9622-4831","affiliations":[{"raw_affiliation_string":"Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore and Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006146465","display_name":"Chai Kiat Yeo","orcid":"https://orcid.org/0000-0002-7618-1472"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Kiat Yeo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7618-1472","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073326796","display_name":"Cheston Tan","orcid":"https://orcid.org/0000-0003-1248-4906"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cheston Tan","raw_affiliation_strings":["Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore","School of Computer Science and Engineering, Nanyang Technological University, Singapore and Agency for Science, Technology and Research (A*STAR), Singapore"],"raw_orcid":"https://orcid.org/0000-0003-1248-4906","affiliations":[{"raw_affiliation_string":"Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore and Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090467618","display_name":"Basura Fernando","orcid":"https://orcid.org/0000-0002-6920-9916"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Basura Fernando","raw_affiliation_strings":["Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore"],"raw_orcid":"https://orcid.org/0000-0002-6920-9916","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"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":"117","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9983000159263611,"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":0.8818420171737671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7761685848236084},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7278254628181458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7151983380317688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6654946208000183},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.632689356803894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5633484125137329},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5392815470695496},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5228515267372131},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47230127453804016},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4605639576911926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.050165385007858276}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8818420171737671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761685848236084},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7278254628181458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7151983380317688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6654946208000183},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.632689356803894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5633484125137329},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5392815470695496},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5228515267372131},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47230127453804016},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4605639576911926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.050165385007858276},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":1,"locations":[{"id":"doi:10.1145/3577164.3577182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577164.3577182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1943880421","https://openalex.org/W2194775991","https://openalex.org/W2330159957","https://openalex.org/W2331011752","https://openalex.org/W2585293115","https://openalex.org/W2794669410","https://openalex.org/W2798991696","https://openalex.org/W2883606943","https://openalex.org/W2927438889","https://openalex.org/W2963426332","https://openalex.org/W2964700958","https://openalex.org/W2990205821","https://openalex.org/W3011871031","https://openalex.org/W3034915791","https://openalex.org/W3035241330","https://openalex.org/W3035524453","https://openalex.org/W3108819577","https://openalex.org/W3124408609","https://openalex.org/W4230056077","https://openalex.org/W4236345650","https://openalex.org/W6701921165"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Prior":[0],"self-supervised":[1,58,109,122],"video":[2,32,141],"object":[3],"segmentation":[4,99,142],"models":[5],"directly":[6],"find":[7],"pixel":[8,110],"correspondences":[9,27],"between":[10,28,50],"pairs":[11],"of":[12,20,30,53,100],"frames.":[13],"Instead,":[14],"we":[15,38],"propose":[16],"a":[17,31,57,130],"novel":[18],"approach":[19],"employing":[21],"superpixel":[22,48,93,123],"features":[23,49,94],"for":[24,133],"learning":[25],"visual":[26,134],"frames":[29,52],"sequence.":[33],"With":[34],"an":[35],"attention":[36],"mechanism,":[37],"train":[39],"the":[40,44,81,87,92,98,137],"model":[41,82],"to":[42,64],"reconstruct":[43],"next":[45],"frame":[46],"using":[47],"adjacent":[51],"videos":[54],"trained":[55],"in":[56],"manner.":[59],"As":[60],"superpixels":[61],"are":[62],"able":[63],"group":[65],"pixels":[66,77],"based":[67],"on":[68,136],"color":[69],"and":[70,75,118,128],"proximity,":[71],"they":[72],"reduce":[73],"repetitive":[74],"noisy":[76],"that":[78,120],"may":[79],"confuse":[80],"during":[83],"tracking.":[84],"In":[85],"addition,":[86],"structural":[88],"information":[89],"provided":[90],"by":[91],"can":[95],"help":[96],"improve":[97],"objects.":[101],"We":[102],"benchmark":[103],"our":[104,121],"method":[105,125],"(S3CNet)":[106],"against":[107],"existing":[108],"correspondence":[111,124],"frameworks":[112],"such":[113],"as":[114],"[12,":[115],"22,":[116],"24]":[117],"show":[119],"performs":[126],"better":[127],"is":[129],"viable":[131],"alternative":[132],"tracking":[135],"commonly-used":[138],"DAVIS":[139],"2017":[140],"benchmark.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
