{"id":"https://openalex.org/W7076052874","doi":"https://doi.org/10.1109/access.2025.3599184","title":"Efficient Anchor-Free Unified Framework for Panoptic Part Segmentation in Real-Time and Resource-Constrained Environments","display_name":"Efficient Anchor-Free Unified Framework for Panoptic Part Segmentation in Real-Time and Resource-Constrained Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7076052874","doi":"https://doi.org/10.1109/access.2025.3599184"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3599184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3599184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"S. Raghavendra","orcid":"https://orcid.org/0000-0003-2733-3916"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Raghavendra","raw_affiliation_strings":["Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0003-2733-3916","affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shambhavi Jha","orcid":null},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shambhavi Jha","raw_affiliation_strings":["Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. K. Abhilash","orcid":"https://orcid.org/0000-0002-1119-4782"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. K. Abhilash","raw_affiliation_strings":["KPIT Technologies, Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0002-1119-4782","affiliations":[{"raw_affiliation_string":"KPIT Technologies, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Venu Madhav Nookala","orcid":"https://orcid.org/0000-0002-0078-5050"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venu Madhav Nookala","raw_affiliation_strings":["KPIT Technologies, Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0002-0078-5050","affiliations":[{"raw_affiliation_string":"KPIT Technologies, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ramyashree","orcid":"https://orcid.org/0000-0002-0237-2444"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramyashree","raw_affiliation_strings":["Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-0237-2444","affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":null,"display_name":"B. N. Anoop","orcid":"https://orcid.org/0000-0002-6082-391X"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. N. Anoop","raw_affiliation_strings":["Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-6082-391X","affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61786114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"147185","last_page":"147201"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.037300001829862595,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.037300001829862595,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12773","display_name":"Water Quality and Resources Studies","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13917","display_name":"Engineering and Material Science Research","score":0.020899999886751175,"subfield":{"id":"https://openalex.org/subfields/2500","display_name":"General Materials Science"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8125},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6589999794960022},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6583999991416931},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5806000232696533},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.49900001287460327},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47929999232292175},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4596000015735626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8503000140190125},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8125},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6589999794960022},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561000108718872},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.49900001287460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4860000014305115},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47929999232292175},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4596000015735626},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4494999945163727},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4020000100135803},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3599184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dbce83e27af7497fafbbf3957a620a84","is_oa":true,"landing_page_url":"https://doaj.org/article/dbce83e27af7497fafbbf3957a620a84","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 147185-147201 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3599184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599184","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1903029394","https://openalex.org/W2104408738","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2565639579","https://openalex.org/W2781228439","https://openalex.org/W2787091153","https://openalex.org/W2910628332","https://openalex.org/W2948978827","https://openalex.org/W2962949934","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963921921","https://openalex.org/W2965182628","https://openalex.org/W2982770724","https://openalex.org/W2995888011","https://openalex.org/W2999219213","https://openalex.org/W3014641072","https://openalex.org/W3015146731","https://openalex.org/W3034512672","https://openalex.org/W3034971973","https://openalex.org/W3035295311","https://openalex.org/W3039132871","https://openalex.org/W3096831136","https://openalex.org/W3113410735","https://openalex.org/W3133929890","https://openalex.org/W3138516171","https://openalex.org/W3159637683","https://openalex.org/W3168649818","https://openalex.org/W3177939959","https://openalex.org/W3193848205","https://openalex.org/W4242175757","https://openalex.org/W4292964465","https://openalex.org/W4312511177","https://openalex.org/W4319300306","https://openalex.org/W4361297371","https://openalex.org/W4364323147","https://openalex.org/W4381850983","https://openalex.org/W4387350700","https://openalex.org/W4390790378","https://openalex.org/W4392194642","https://openalex.org/W4399665671","https://openalex.org/W4401049950","https://openalex.org/W4402187257","https://openalex.org/W4402716214","https://openalex.org/W4402917667","https://openalex.org/W4405896160","https://openalex.org/W4406048999","https://openalex.org/W4406081037","https://openalex.org/W4406322164","https://openalex.org/W4406754278","https://openalex.org/W4406825355","https://openalex.org/W4407308618","https://openalex.org/W4407782410","https://openalex.org/W4407948305","https://openalex.org/W4408100121","https://openalex.org/W4408201752","https://openalex.org/W4408206869","https://openalex.org/W4408358150","https://openalex.org/W4408520284","https://openalex.org/W4408529525","https://openalex.org/W4409308332","https://openalex.org/W4409383331","https://openalex.org/W4409593436","https://openalex.org/W4409761304","https://openalex.org/W4409991839"],"related_works":[],"abstract_inverted_index":{"Part":[0],"segmentation":[1,14,56,98,215,238],"is":[2,26,70,130,218],"one":[3],"of":[4,54,160],"the":[5,24,31,51,110,181,191,210],"most":[6],"important":[7],"problems":[8],"in":[9,92],"computer":[10],"vision.":[11],"In":[12,208],"part":[13,237],"objects":[15],"are":[16],"simultaneously":[17],"detected":[18],"and":[19,39,44,62,76,85,102,120,156,190,206,223],"their":[20],"parts":[21],"segmented.":[22],"While":[23],"issue":[25],"yet":[27],"to":[28,95,116,132],"be":[29],"resolved,":[30],"proposed":[32,48,80,141],"work":[33],"introduces":[34],"a":[35,67,88,145,149,157,213,231],"connected,":[36],"more":[37,71],"efficient":[38],"anchor-free":[40],"pathway":[41],"for":[42,73,137,234],"object":[43],"path":[45],"segmentation.":[46],"The":[47,79,140],"solution":[49,233],"addresses":[50],"prevalent":[52],"issues":[53],"current":[55],"models":[57,119],"with":[58,99,152],"high":[59,113],"computational":[60,83,158,225],"cost":[61,90,159],"long":[63],"inference":[64],"times.":[65],"As":[66],"result,":[68],"it":[69],"suitable":[72],"real-time":[74,138],"applications":[75],"resource-constrained":[77],"settings.":[78],"architecture":[81],"reduces":[82,122],"complexity":[84],"eliminates":[86],"anchors,":[87],"major":[89],"driver":[91],"traditional":[93],"models,":[94],"achieve":[96],"faster":[97],"comparable":[100],"panoptic":[101,236],"part-level":[103],"accuracy.":[104],"Experimental":[105],"analysis":[106],"shows":[107],"that":[108,217],"while":[109,163],"method":[111,229],"maintains":[112],"accuracy":[114],"compared":[115],"other":[117],"state-of-the-art":[118],"significantly":[121],"processing":[123],"time,":[124],"further":[125],"evaluation":[126],"across":[127],"broader":[128],"scenarios":[129],"needed":[131],"fully":[133],"validate":[134],"its":[135],"effectiveness":[136],"applications.":[139],"architecture,":[142],"built":[143],"on":[144,179],"ResNet50":[146],"backbone,":[147],"offers":[148],"lightweight":[150],"design":[151],"only":[153],"35.6M":[154],"parameters":[155],"187":[161],"GFLOPs,":[162],"handling":[164],"competitive":[165],"input":[166],"sizes":[167],"(<inline-formula":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[170],"<tex-math":[171],"notation=\"LaTeX\">$800\\times":[172],"1300$":[173],"</tex-math></inline-formula>).":[174],"It":[175],"achieves":[176],"strong":[177],"results":[178],"both":[180],"Cityscapes":[182],"Panoptic":[183,193],"Parts":[184,194],"dataset":[185,195],"(PQ:":[186,196],"71.3%,":[187],"PartPQ:":[188,198],"66.9%)":[189],"Pascal":[192],"64.8%,":[197],"55.3%),":[199],"outperforming":[200],"existing":[201],"methods":[202],"such":[203],"as":[204,230],"Panoptic-PartFormer++":[205],"UPSNet+DeepLabv3+.":[207],"general,":[209],"contributions":[211],"include":[212],"one-pass":[214],"pipeline":[216],"time":[219],"efficient,":[220],"higher":[221],"accuracy,":[222],"reduced":[224],"demands,":[226],"positioning":[227],"this":[228],"practical":[232],"real-world":[235],"tasks.":[239]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
