{"id":"https://openalex.org/W4205470785","doi":"https://doi.org/10.1109/tmm.2021.3136085","title":"Distortion Map-Guided Feature Rectification for Efficient Video Semantic Segmentation","display_name":"Distortion Map-Guided Feature Rectification for Efficient Video Semantic Segmentation","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W4205470785","doi":"https://doi.org/10.1109/tmm.2021.3136085"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3136085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3136085","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-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/A5034510489","display_name":"Jingjing Xiong","orcid":"https://orcid.org/0000-0002-5288-3605"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingjing Xiong","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5288-3605","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038133707","display_name":"Lai-Man Po","orcid":"https://orcid.org/0000-0002-5185-1492"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-Man Po","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5185-1492","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081706999","display_name":"Wing-Yin Yu","orcid":"https://orcid.org/0000-0002-9559-1055"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wing-Yin Yu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9559-1055","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071193469","display_name":"Yuzhi Zhao","orcid":"https://orcid.org/0000-0001-8561-2206"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuzhi Zhao","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8561-2206","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kwok-Wai Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"HK","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok-Wai Cheung","raw_affiliation_strings":["School of Communication, The Hang Seng University of Hong Kong, Shatin, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication, The Hang Seng University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4711,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65641136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"1019","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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":0.9984999895095825,"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/image-warping","display_name":"Image warping","score":0.8412295579910278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8402451276779175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7189633250236511},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6774013042449951},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6434528827667236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.60992830991745},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5592514872550964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42823854088783264},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4141482710838318}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.8412295579910278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402451276779175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7189633250236511},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6774013042449951},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6434528827667236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.60992830991745},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5592514872550964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42823854088783264},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4141482710838318},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3136085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3136085","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1669299330","https://openalex.org/W1913356549","https://openalex.org/W2011953904","https://openalex.org/W2340897893","https://openalex.org/W2528342806","https://openalex.org/W2552900565","https://openalex.org/W2560023338","https://openalex.org/W2560474170","https://openalex.org/W2561585794","https://openalex.org/W2755343736","https://openalex.org/W2763794872","https://openalex.org/W2793939440","https://openalex.org/W2886787375","https://openalex.org/W2896437987","https://openalex.org/W2913950831","https://openalex.org/W2940262938","https://openalex.org/W2945161979","https://openalex.org/W2952787292","https://openalex.org/W2962815021","https://openalex.org/W2963163009","https://openalex.org/W2963176324","https://openalex.org/W2963419596","https://openalex.org/W2963445119","https://openalex.org/W2963782415","https://openalex.org/W2963866581","https://openalex.org/W2963917006","https://openalex.org/W2964076878","https://openalex.org/W2964252655","https://openalex.org/W2964254867","https://openalex.org/W2980116241","https://openalex.org/W2982693298","https://openalex.org/W2996803365","https://openalex.org/W3005248472","https://openalex.org/W3005938789","https://openalex.org/W3014352273","https://openalex.org/W3014641072","https://openalex.org/W3017166334","https://openalex.org/W3025847014","https://openalex.org/W3028392891","https://openalex.org/W3035531015","https://openalex.org/W3035807818","https://openalex.org/W3083207769","https://openalex.org/W3091091138","https://openalex.org/W3091188807","https://openalex.org/W3091600798","https://openalex.org/W3108812043","https://openalex.org/W3111879967","https://openalex.org/W3120494681","https://openalex.org/W3120875261","https://openalex.org/W3128138976","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3156760976","https://openalex.org/W3158725523","https://openalex.org/W3159637683","https://openalex.org/W3168227666","https://openalex.org/W3168523553","https://openalex.org/W3170841864","https://openalex.org/W3171275468","https://openalex.org/W3176667405","https://openalex.org/W3194225218","https://openalex.org/W4244914727","https://openalex.org/W6631190155","https://openalex.org/W6726497184","https://openalex.org/W6761630670","https://openalex.org/W6778231270"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W2380251249","https://openalex.org/W2001283968","https://openalex.org/W2126960140","https://openalex.org/W2371038066"],"abstract_inverted_index":{"To":[0,57],"leverage":[1],"the":[2,27,44,76,82,93,109,114,119,123,129,138,142,162,188],"strong":[3],"cross-frame":[4],"relations":[5],"of":[6,128],"videos,":[7],"many":[8],"video":[9,28,71,204],"semantic":[10,72,205],"segmentation":[11,55],"methods":[12],"tend":[13],"to":[14,33,112,160],"explore":[15],"feature":[16,19,38,67,77,115],"reuse":[17],"and":[18,79,122,150,176,183,200],"warping":[20,45],"based":[21],"on":[22,81,181,203],"motion":[23],"clues.":[24],"However,":[25],"since":[26],"dynamics":[29],"are":[30,96],"too":[31],"complex":[32],"model":[34],"accurately,":[35],"some":[36],"warped":[37,120,143],"values":[39],"may":[40],"be":[41],"invalid.":[42],"Moreover,":[43],"errors":[46],"can":[47],"accumulate":[48],"across":[49],"frames,":[50],"thereby":[51],"resulting":[52],"in":[53,136,141,172],"degraded":[54],"performance.":[56],"tackle":[58],"this":[59],"problem,":[60],"we":[61,154],"present":[62],"an":[63,156,173],"efficient":[64],"distortion":[65,105,130],"map-guided":[66],"rectification":[68,116],"method":[69,190],"for":[70,92],"segmentation,":[73],"specifically":[74],"targeting":[75],"updating":[78],"correction":[80,101],"distorted":[83,94,139,163],"regions":[84,95],"with":[85,166],"unreliable":[86],"optical":[87],"flow.":[88],"The":[89,126],"updated":[90,124],"features":[91,121],"extracted":[97],"from":[98],"a":[99],"light":[100],"network":[102,169],"(CoNet).":[103],"A":[104],"map":[106,131],"serves":[107],"as":[108],"weighted":[110],"attention":[111],"guide":[113],"by":[117,195],"aggregating":[118],"features.":[125],"generation":[127],"is":[132,170],"simple":[133],"yet":[134],"effective":[135],"predicting":[137],"areas":[140],"features,":[144],"i.e.,":[145],"moving":[146],"boundaries,":[147],"thin":[148],"objects,":[149],"occlusions.":[151],"In":[152],"addition,":[153],"propose":[155],"auxiliary":[157],"edge-semantics":[158],"loss":[159],"implement":[161],"region":[164],"supervision":[165],"classes.":[167],"Our":[168],"trained":[171],"end-to-end":[174],"manner":[175],"highly":[177],"modular.":[178],"Comprehensive":[179],"experiments":[180],"Cityscapes":[182],"CamVid":[184],"datasets":[185],"demonstrate":[186],"that":[187],"proposed":[189],"has":[191],"achieved":[192],"state-of-the-art":[193],"performance":[194],"weighing":[196],"accuracy,":[197],"inference":[198],"speed,":[199],"temporal":[201],"consistency":[202],"segmentation.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}