{"id":"https://openalex.org/W4226380957","doi":"https://doi.org/10.1007/978-3-031-04083-2_13","title":"Beyond the\u00a0Visual Analysis of\u00a0Deep Model Saliency","display_name":"Beyond the\u00a0Visual Analysis of\u00a0Deep Model Saliency","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226380957","doi":"https://doi.org/10.1007/978-3-031-04083-2_13"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-04083-2_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_13.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001574028","display_name":"Sarah Adel Bargal","orcid":"https://orcid.org/0000-0003-3157-0412"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sarah Adel Bargal","raw_affiliation_strings":["Boston University, Boston, MA, 02215, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091019267","display_name":"Andrea Zunino","orcid":"https://orcid.org/0000-0001-8924-7402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Zunino","raw_affiliation_strings":["Leonardo Labs, 16149, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Leonardo Labs, 16149, Genova, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035207753","display_name":"Vitali Petsiuk","orcid":"https://orcid.org/0000-0002-9565-4511"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vitali Petsiuk","raw_affiliation_strings":["Boston University, Boston, MA, 02215, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036510129","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0002-9954-6294"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianming Zhang","raw_affiliation_strings":["Adobe Research, San Jose, CA, 95110, USA"],"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, 95110, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007242502","display_name":"Vittorio Murino","orcid":"https://orcid.org/0000-0002-8645-2328"},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vittorio Murino","raw_affiliation_strings":["University of Verona, 37134, Verona, Italy"],"affiliations":[{"raw_affiliation_string":"University of Verona, 37134, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042663603","display_name":"Stan Sclaroff","orcid":"https://orcid.org/0000-0002-0711-4313"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan Sclaroff","raw_affiliation_strings":["Boston University, Boston, MA, 02215, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075906727","display_name":"Kate Saenko","orcid":"https://orcid.org/0000-0002-7564-7218"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kate Saenko","raw_affiliation_strings":["Boston University, Boston, MA, 02215, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5001574028"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":2.1552,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86176143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9962000250816345,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9958999752998352,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7210639119148254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144792079925537},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6309279203414917},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6085965633392334},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6012968420982361},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5692096948623657},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49511900544166565},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49038267135620117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4870043396949768},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4690932035446167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36845141649246216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08345058560371399}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210639119148254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144792079925537},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6309279203414917},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6085965633392334},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6012968420982361},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5692096948623657},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49511900544166565},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49038267135620117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4870043396949768},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4690932035446167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36845141649246216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08345058560371399},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-04083-2_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-04083-2_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_13","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226380957.pdf","grobid_xml":"https://content.openalex.org/works/W4226380957.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1486852018","https://openalex.org/W1689711448","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2138011018","https://openalex.org/W2503388974","https://openalex.org/W2560835477","https://openalex.org/W2595840341","https://openalex.org/W2600144439","https://openalex.org/W2737725206","https://openalex.org/W2773003563","https://openalex.org/W2776207810","https://openalex.org/W2902916563","https://openalex.org/W2962858109","https://openalex.org/W2963371637","https://openalex.org/W2963798744","https://openalex.org/W2964019666","https://openalex.org/W2981720610","https://openalex.org/W2994881943","https://openalex.org/W3048549109","https://openalex.org/W3118608800","https://openalex.org/W3118795360","https://openalex.org/W3123457861","https://openalex.org/W3180707540","https://openalex.org/W3186608063","https://openalex.org/W3188805207","https://openalex.org/W4231090517","https://openalex.org/W6600609147","https://openalex.org/W6605031968","https://openalex.org/W6829576860","https://openalex.org/W6847397134"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"Abstract":[0],"Increased":[1],"explainability":[2,34,61,68],"in":[3,30],"machine":[4],"learning":[5],"is":[6,16],"traditionally":[7],"associated":[8],"with":[9],"lower":[10],"performance,":[11],"e.g.":[12],"a":[13,23,36,48],"decision":[14],"tree":[15],"more":[17,94],"explainable,":[18],"but":[19],"less":[20],"accurate":[21],"than":[22],"deep":[24,37],"neural":[25],"network.":[26],"We":[27],"argue":[28],"that,":[29],"fact,":[31],"increasing":[32],"the":[33],"of":[35,50],"classifier":[38],"can":[39,62,69],"improve":[40],"its":[41],"generalization.":[42],"In":[43],"this":[44],"chapter,":[45],"we":[46],"survey":[47],"line":[49],"our":[51],"published":[52],"work":[53],"that":[54,75],"demonstrates":[55],"how":[56,66],"spatial":[57],"and":[58,65,81,92],"spatiotemporal":[59],"visual":[60],"be":[63,70],"obtained,":[64],"such":[67],"used":[71],"to":[72,96],"train":[73],"models":[74],"generalize":[76],"better":[77,88],"on":[78],"unseen":[79],"in-domain":[80],"out-of-domain":[82],"samples,":[83],"refine":[84],"fine-grained":[85],"classification":[86],"predictions,":[87],"utilize":[89],"network":[90,97],"capacity,":[91],"are":[93],"robust":[95],"compression.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}