{"id":"https://openalex.org/W3132368316","doi":"https://doi.org/10.1109/lsp.2021.3059195","title":"Deep Adversarial Network for Scene Independent Moving Object Segmentation","display_name":"Deep Adversarial Network for Scene Independent Moving Object Segmentation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3132368316","doi":"https://doi.org/10.1109/lsp.2021.3059195","mag":"3132368316"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3059195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3059195","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5050348715","display_name":"Prashant W. Patil","orcid":"https://orcid.org/0000-0003-2604-6501"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prashant W. Patil","raw_affiliation_strings":["Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014376368","display_name":"Akshay Dudhane","orcid":"https://orcid.org/0000-0002-0908-1930"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshay Dudhane","raw_affiliation_strings":["Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032409915","display_name":"Subrahmanyam Murala","orcid":"https://orcid.org/0000-0003-3384-4368"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subrahmanyam Murala","raw_affiliation_strings":["Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Rupnagar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005888460","display_name":"Anil Balaji Gonde","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Balaji Gonde","raw_affiliation_strings":["SGGSIET Nanded, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SGGSIET Nanded, Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050348715"],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":2.0347,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88509287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"489","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.7985524535179138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6922497749328613},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6793228983879089},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6775946617126465},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6528038382530212},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6473681330680847},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6301205158233643},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.508873462677002},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4926779866218567},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43052610754966736},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4237728714942932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40088358521461487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985524535179138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6922497749328613},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6793228983879089},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6775946617126465},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6528038382530212},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6473681330680847},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6301205158233643},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.508873462677002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4926779866218567},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43052610754966736},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4237728714942932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40088358521461487},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3059195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3059195","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G8465226105","display_name":null,"funder_award_id":"ECR/2018/001538","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2172859194","https://openalex.org/W2511363568","https://openalex.org/W2525668722","https://openalex.org/W2759692151","https://openalex.org/W2765774298","https://openalex.org/W2768086131","https://openalex.org/W2793938489","https://openalex.org/W2799239273","https://openalex.org/W2883756456","https://openalex.org/W2888266695","https://openalex.org/W2894289735","https://openalex.org/W2900538548","https://openalex.org/W2903118147","https://openalex.org/W2912611163","https://openalex.org/W2915821605","https://openalex.org/W2916797271","https://openalex.org/W2920259044","https://openalex.org/W2921730422","https://openalex.org/W2921997090","https://openalex.org/W2925327970","https://openalex.org/W2953471980","https://openalex.org/W2955084925","https://openalex.org/W2956891660","https://openalex.org/W2963073614","https://openalex.org/W2963503215","https://openalex.org/W2964218467","https://openalex.org/W2964343881","https://openalex.org/W2967622921","https://openalex.org/W2969435864","https://openalex.org/W2970828071","https://openalex.org/W2978122847","https://openalex.org/W2986056979","https://openalex.org/W2987728104","https://openalex.org/W2987878306","https://openalex.org/W3009499989","https://openalex.org/W3013211900","https://openalex.org/W3020334921","https://openalex.org/W3022118149","https://openalex.org/W3034578106","https://openalex.org/W3034731255","https://openalex.org/W3093858573","https://openalex.org/W3098241816","https://openalex.org/W3102457447","https://openalex.org/W4300179783"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W2080069147"],"abstract_inverted_index":{"The":[0,79,133,148],"current":[1,91],"prevailing":[2],"algorithms":[3],"highly":[4],"depend":[5],"on":[6,142],"additional":[7],"pre-trained":[8],"modules":[9],"trained":[10],"for":[11,72],"other":[12],"applications":[13],"or":[14,18],"complicated":[15],"training":[16],"procedures":[17],"neglect":[19],"the":[20,26,41,85,90,102,115,137,152],"inter-frame":[21],"spatio-temporal":[22,87],"structural":[23],"dependencies.":[24],"Also,":[25],"generalized":[27],"effect":[28],"of":[29,119,136],"existing":[30,153],"works":[31],"with":[32,69,125,156],"completely":[33],"unseen":[34],"data":[35],"is":[36,67,81,123,140],"difficult":[37],"to":[38,83,100],"identify.":[39],"Specifically,":[40],"outdoor":[42],"videos":[43],"suffer":[44],"from":[45,89],"adverse":[46],"atmospheric":[47],"conditions":[48],"like":[49],"poor":[50],"visibility,":[51],"inclement":[52],"weather,":[53],"etc.":[54],"In":[55],"this":[56],"letter,":[57],"a":[58],"novel":[59],"end-to-end":[60],"multi-scale":[61],"temporal":[62],"edge":[63],"aggregation":[64],"(MTPA)":[65],"network":[66],"proposed":[68,82,138,149],"adversarial":[70],"learning":[71],"scene":[73,157],"dependent":[74,158],"and":[75,92,111,144,159],"independent":[76,160],"object":[77],"segmentation.":[78],"MTPA":[80,96,127],"extract":[84],"comprehensive":[86],"features":[88,97,128],"reference":[93],"frame.":[94],"These":[95],"are":[98],"used":[99],"guide":[101],"respective":[103,116,126],"decoder":[104,131],"through":[105],"skip":[106],"connections.":[107],"To":[108],"get":[109],"authentic":[110],"consistent":[112],"foreground":[113],"object(s),":[114],"scale":[117],"feedback":[118],"previous":[120],"frame":[121],"output":[122],"provided":[124],"at":[129],"each":[130],"input.":[132],"performance":[134],"analysis":[135],"method":[139,150],"verified":[141],"CDnet-2014":[143],"LASIESTA":[145],"video":[146],"datasets.":[147],"outperforms":[151],"state-of-the-art":[154],"methods":[155],"analysis.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}