{"id":"https://openalex.org/W4407638502","doi":"https://doi.org/10.1109/tmm.2025.3543102","title":"SVSRD: Spatial Visual and Statistical Relation Distillation for Class-Incremental Semantic Segmentation","display_name":"SVSRD: Spatial Visual and Statistical Relation Distillation for Class-Incremental Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407638502","doi":"https://doi.org/10.1109/tmm.2025.3543102"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3543102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3543102","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/A5101409382","display_name":"Yuyang Chang","orcid":"https://orcid.org/0000-0003-3187-5814"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyang Chang","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031056278","display_name":"Yifan Jiao","orcid":"https://orcid.org/0000-0002-8923-6997"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Jiao","raw_affiliation_strings":["School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Kun Bao","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101409382"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":4.9698,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93973381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"4869","last_page":"4881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"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":0.9983999729156494,"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":0.8484780788421631},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.659780740737915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6106885671615601},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5880200266838074},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5778290033340454},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5288304686546326},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5104480981826782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4489056468009949},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41254472732543945},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37491583824157715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37044891715049744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3550693988800049},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32370927929878235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32319629192352295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8484780788421631},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.659780740737915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6106885671615601},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5880200266838074},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5778290033340454},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5288304686546326},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5104480981826782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4489056468009949},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41254472732543945},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37491583824157715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37044891715049744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3550693988800049},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32370927929878235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32319629192352295},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3543102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3543102","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":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1447781849","display_name":null,"funder_award_id":"62302239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3658883423","display_name":null,"funder_award_id":"BK20230363","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5851403343","display_name":null,"funder_award_id":"62325206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2473930607","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2764018356","https://openalex.org/W2888965908","https://openalex.org/W2948734064","https://openalex.org/W2963072899","https://openalex.org/W2963091558","https://openalex.org/W2963881378","https://openalex.org/W2964189064","https://openalex.org/W2972313371","https://openalex.org/W2981689412","https://openalex.org/W2981720610","https://openalex.org/W3000677656","https://openalex.org/W3011986058","https://openalex.org/W3028392891","https://openalex.org/W3034345703","https://openalex.org/W3034435444","https://openalex.org/W3034856281","https://openalex.org/W3094953068","https://openalex.org/W3106901158","https://openalex.org/W3107810305","https://openalex.org/W3108827478","https://openalex.org/W3110148193","https://openalex.org/W3125003080","https://openalex.org/W3141904994","https://openalex.org/W3166525903","https://openalex.org/W3168149265","https://openalex.org/W3170841864","https://openalex.org/W3171888599","https://openalex.org/W3175270254","https://openalex.org/W3205005288","https://openalex.org/W3205986049","https://openalex.org/W4214662032","https://openalex.org/W4214893857","https://openalex.org/W4225922183","https://openalex.org/W4307975143","https://openalex.org/W4309589122","https://openalex.org/W4312401347","https://openalex.org/W4312447529","https://openalex.org/W4319300067","https://openalex.org/W4367146565","https://openalex.org/W4367154318","https://openalex.org/W4378194825","https://openalex.org/W4382464382","https://openalex.org/W4386065959","https://openalex.org/W4386071761","https://openalex.org/W4386076115","https://openalex.org/W4386076516","https://openalex.org/W4390873132","https://openalex.org/W4390874455","https://openalex.org/W6638523607","https://openalex.org/W6734335776","https://openalex.org/W6738602802","https://openalex.org/W6739696289","https://openalex.org/W6778231270","https://openalex.org/W6792618183","https://openalex.org/W6797399245","https://openalex.org/W6797461981","https://openalex.org/W6843072423","https://openalex.org/W6845611785","https://openalex.org/W6846297414","https://openalex.org/W6846406187","https://openalex.org/W6846759823","https://openalex.org/W6846905679"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2363753014","https://openalex.org/W2385567678","https://openalex.org/W2355121635","https://openalex.org/W1522196789","https://openalex.org/W1967100394","https://openalex.org/W4312476862","https://openalex.org/W2016995243","https://openalex.org/W1495086659","https://openalex.org/W2382163390"],"abstract_inverted_index":{"Class-incremental":[0],"semantic":[1],"segmentation":[2],"(CISS)":[3],"aims":[4],"to":[5,14,56,82,103,162,175,215],"incrementally":[6],"learn":[7,104],"novel":[8,105,116,170],"classes":[9,79,106],"while":[10,73],"retaining":[11],"the":[12,23,36,39,75,94,101,110,158,164,177,180,185,195,198,203,206,233,239],"ability":[13],"segment":[15],"old":[16,49,78,154],"classes,":[17],"and":[18,50,88,119,128,146,153,182,219,228],"suffers":[19],"catastrophic":[20],"forgetting":[21,58,218],"since":[22],"old-class":[24,217],"labels":[25],"are":[26,209],"unavailable.":[27],"Most":[28],"existing":[29],"methods":[30],"typically":[31],"impose":[32,147],"strict":[33],"constraints":[34,92,208],"on":[35,197,225],"consistency":[37,149],"between":[38,151],"extracted":[40],"features":[41],"or":[42],"output":[43],"logits":[44],"of":[45,70,77,179,187],"each":[46],"pixel":[47,95],"from":[48],"current":[51,152],"models":[52],"in":[53,66,212],"an":[54],"attempt":[55],"prevent":[57],"through":[59,189],"knowledge":[60,72,86,161],"distillation":[61,132],"(KD),":[62],"which":[63,135,156,192],"1)":[64],"results":[65],"a":[67,115,142,148,169],"significant":[68],"transfer":[69],"redundant":[71],"limiting":[74],"restoration":[76],"(rigidity)":[80],"due":[81],"potentially":[83],"overlooking":[84],"essential":[85,159],"extraction,":[87],"2)":[89],"imposes":[90],"strong":[91],"at":[93],"level":[96],"making":[97],"it":[98],"challenging":[99],"for":[100,133,201],"model":[102,196],"(plasticity).":[107],"To":[108],"solve":[109],"above":[111],"limitations,":[112],"we":[113,140,167],"propose":[114,168],"Spatial":[117],"Visual":[118],"Statistical":[120],"Relation":[121],"Distillation":[122],"(SVSRD)":[123],"by":[124],"applying":[125],"multi-scale":[126],"visual":[127,160],"statistical":[129,171,190],"position":[130],"relation":[131],"CISS,":[134],"enjoys":[136],"several":[137],"merits.":[138],"First,":[139],"introduce":[141],"region-based":[143],"similarity":[144],"matrix":[145],"constraint":[150],"models,":[155],"preserves":[157],"enhance":[163,220],"rigidity.":[165],"Second,":[166],"feature":[172],"calculation":[173],"algorithm":[174],"investigate":[176],"distribution":[178],"data":[181],"further":[183],"preserve":[184],"rules":[186],"statistics":[188],"consistency,":[191],"also":[193],"promotes":[194],"novel-class":[199,221],"learning":[200],"improving":[202],"plasticity.":[204],"Finally,":[205],"aforementioned":[207],"jointly":[210],"applied":[211],"multiple":[213],"scales":[214],"alleviate":[216],"learning.":[222],"Extensive":[223],"experiments":[224],"Pascal-VOC":[226],"2012":[227],"ADE20":[229],"K":[230],"demonstrate":[231],"that":[232],"proposed":[234],"approach":[235],"performs":[236],"favorably":[237],"against":[238],"state-of-the-art":[240],"CISS":[241],"methods.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}