{"id":"https://openalex.org/W4410772487","doi":"https://doi.org/10.1145/3727353.3727397","title":"ASF-Net: A Lightweight Network for Panoptic Segmentation with Adjacent Scale Feature Fusion","display_name":"ASF-Net: A Lightweight Network for Panoptic Segmentation with Adjacent Scale Feature Fusion","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772487","doi":"https://doi.org/10.1145/3727353.3727397"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727397","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727397","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104088243","display_name":"Chunfeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Yang","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0008-4747-9238","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Linyuan Qi","orcid":"https://orcid.org/0009-0000-0307-576X"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyuan Qi","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0000-0307-576X","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenxiao Yang","orcid":"https://orcid.org/0009-0001-8169-7107"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxiao Yang","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0001-8169-7107","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114213641","display_name":"Longyu Shi","orcid":"https://orcid.org/0009-0007-6535-9662"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longyu Shi","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0007-6535-9662","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111824828","display_name":"Qiuyu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Tang","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0008-0033-3856","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029766922","display_name":"Lixiang Tan","orcid":"https://orcid.org/0009-0002-0968-5635"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiang Tan","raw_affiliation_strings":["Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0002-0968-5635","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10024632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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":0.9969000220298767,"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":0.9962999820709229,"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":0.6544398069381714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439977288246155},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6297992467880249},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6169027090072632},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6039730906486511},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.550177812576294},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5446873903274536},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5206438899040222},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.469783216714859},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41250914335250854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4072228968143463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09584903717041016},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06188100576400757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544398069381714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439977288246155},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6297992467880249},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6169027090072632},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6039730906486511},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.550177812576294},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5446873903274536},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5206438899040222},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.469783216714859},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41250914335250854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4072228968143463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09584903717041016},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06188100576400757},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727397","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727397","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727397","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727397","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772487.pdf","grobid_xml":"https://content.openalex.org/works/W4410772487.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2962773068","https://openalex.org/W2965182628","https://openalex.org/W2999219213","https://openalex.org/W3034355852","https://openalex.org/W3034975706","https://openalex.org/W3035186733","https://openalex.org/W3088976275","https://openalex.org/W3133929890","https://openalex.org/W3167976421","https://openalex.org/W3177024905","https://openalex.org/W4212846914","https://openalex.org/W6600424091","https://openalex.org/W6600529467","https://openalex.org/W6600688380","https://openalex.org/W6602646189"],"related_works":["https://openalex.org/W2921107741","https://openalex.org/W2197002326","https://openalex.org/W2494728058","https://openalex.org/W3204968380","https://openalex.org/W1710116222","https://openalex.org/W2800383628","https://openalex.org/W2345320341","https://openalex.org/W4233922521","https://openalex.org/W4381850983","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Panoptic":[0,139],"segmentation":[1,129],"is":[2,100,130],"a":[3,67,105],"challenging":[4],"task":[5],"in":[6,60],"computer":[7],"vision.":[8],"However,":[9],"the":[10,20,24,52,58,61,88,117,122],"current":[11],"convolutional":[12],"neural":[13],"network":[14,107],"(CNN)-based":[15],"approaches":[16,26],"cannot":[17],"effectively":[18,45],"utilize":[19],"spatial":[21],"information,":[22],"while":[23],"Transformer-based":[25],"bring":[27],"high":[28],"computational":[29],"complexity.":[30],"To":[31],"address":[32],"these":[33],"issues,":[34],"this":[35],"paper":[36],"proposes":[37],"an":[38],"adjacent":[39,47],"scale":[40,48],"feature":[41,118],"fusion":[42,89,95],"module":[43],"to":[44,50,76,86,91,103,138],"integrate":[46],"features":[49,59,78],"enrich":[51],"information":[53],"of":[54,113,121,127],"different":[55,77],"scales.":[56],"Specifically,":[57],"encoder":[62],"are":[63,74,84],"further":[64],"extracted":[65],"by":[66,79,132],"reparameterized":[68],"conv":[69],"block,":[70],"and":[71,115,134],"then":[72],"weights":[73,83],"assigned":[75],"content-guided":[80],"attention.":[81],"These":[82],"used":[85],"adjust":[87],"scales":[90],"achieve":[92],"more":[93],"flexible":[94],"results.":[96],"Efficient":[97],"local":[98],"attention":[99],"also":[101],"introduced":[102],"build":[104],"lightweight":[106],"that":[108],"can":[109],"accurately":[110],"recognize":[111],"regions":[112],"interest":[114],"enhance":[116],"extraction":[119],"capability":[120],"backbone":[123],"network.":[124],"The":[125],"quality":[126],"panoptic":[128],"improved":[131],"5.9%":[133],"2.6%,":[135],"respectively,":[136],"compared":[137],"DeepLab.":[140]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}