{"id":"https://openalex.org/W7131890558","doi":"https://doi.org/10.1109/tmm.2026.3668476","title":"Independent Block-Wise Attribution for Vision Transformer Interpretability Through Semantic Relevance","display_name":"Independent Block-Wise Attribution for Vision Transformer Interpretability Through Semantic Relevance","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7131890558","doi":"https://doi.org/10.1109/tmm.2026.3668476"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2026.3668476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3668476","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/A5123937271","display_name":"Nan Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Qi","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0005-7492-8308","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127461574","display_name":"Peng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7033-9315","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guiqin Wang","orcid":"https://orcid.org/0000-0002-3369-5043"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiqin Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3369-5043","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020695106","display_name":"Cong Zhao","orcid":"https://orcid.org/0009-0005-1356-0431"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9002-4350","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127316161","display_name":"Shusen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusen Yang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4495-6237","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19890908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"5303","last_page":"5314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.42340001463890076,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.42340001463890076,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.36959999799728394,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.045099999755620956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9309999942779541},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5153999924659729},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.45489999651908875},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4185999929904938},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4056999981403351}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9309999942779541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537999749183655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960000157356262},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5153999924659729},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40549999475479126},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2026.3668476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3668476","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Transformers":[0],"are":[1],"increasingly":[2],"becoming":[3],"the":[4,8,20,37,46,56,82,89,94,108,114,120,131,151,156],"dominant":[5],"model":[6,43,95,121],"in":[7,61,63,88],"field":[9],"of":[10,22,39,48,85,105,116,133,158],"computer":[11],"vision,":[12],"thereby":[13],"catalyzing":[14],"research":[15,54],"efforts":[16],"aimed":[17],"at":[18,165],"unraveling":[19],"interpretability":[21],"transformers.":[23],"Existing":[24],"explanation":[25],"techniques,":[26],"whether":[27],"attention-based":[28],"or":[29],"gradient-based,":[30],"furnish":[31],"a":[32,70],"dependable":[33],"approach":[34],"to":[35,141,150,154],"quantifying":[36],"impact":[38],"input":[40],"features":[41],"on":[42,119],"predictions":[44],"from":[45],"perspective":[47],"dissecting":[49],"self-attention":[50],"mechanisms.":[51],"However,":[52],"current":[53,142],"overlooks":[55],"block-to-block":[57],"constraints,":[58],"which":[59,80,106],"result":[60],"misdirection":[62],"attribution.":[64],"In":[65],"this":[66],"work,":[67],"we":[68,146],"propose":[69],"block-wise":[71],"constraints-free":[72],"interpretation":[73,122,143],"method,":[74,135],"Independent":[75],"Block":[76],"Level":[77],"Attribution":[78],"(IBA),":[79],"maintains":[81],"relative":[83],"independence":[84],"each":[86,104],"block":[87],"model.":[90],"The":[91],"IBA":[92,149],"reconfigures":[93],"into":[96],"mutually":[97],"unaffected":[98],"class-semantic":[99,102],"blocks":[100],"via":[101],"relevance,":[103],"performs":[107],"attribution":[109],"computation":[110],"independently,":[111],"thus":[112],"minimizing":[113],"influence":[115],"inter-block":[117],"constraints":[118],"performance.":[123],"Extensive":[124],"perturbation":[125],"and":[126],"segmentation":[127],"experiments":[128],"unequivocally":[129],"demonstrate":[130,155],"superiority":[132],"our":[134,159],"showcasing":[136],"its":[137],"significant":[138],"outperformance":[139],"compared":[140],"methods.":[144],"Additionally,":[145],"also":[147],"apply":[148],"text":[152],"transformer":[153],"generalization":[157],"method.":[160],"Our":[161],"code":[162],"is":[163],"available":[164],"<uri":[166],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[167],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/qinanin/TMM-IBA.git</uri>.":[168]},"counts_by_year":[],"updated_date":"2026-07-03T06:15:21.484131","created_date":"2026-02-28T00:00:00"}