{"id":"https://openalex.org/W4389474468","doi":"https://doi.org/10.1109/mmsp59012.2023.10337727","title":"DASA: Domain Adaptation via Saliency Augmentation","display_name":"DASA: Domain Adaptation via Saliency Augmentation","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474468","doi":"https://doi.org/10.1109/mmsp59012.2023.10337727"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-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/A5006197025","display_name":"Atharv Singh Patlan","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Atharv Singh Patlan","raw_affiliation_strings":["Indian Institute of Technology Kanpur (IIT Kanpur),Department of Computer Science and Engineering,Kanpur,India","Department of Computer Science and Engineering, Indian Institute of Technology Kanpur (IIT Kanpur), Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kanpur (IIT Kanpur),Department of Computer Science and Engineering,Kanpur,India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Kanpur (IIT Kanpur), Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029627696","display_name":"Koteswar Rao Jerripothula","orcid":"https://orcid.org/0000-0002-3507-3731"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]},{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Koteswar Rao Jerripothula","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi (IIIT-Delhi),Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi (IIIT-Delhi),Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I119939252"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006197025"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16450535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs/1810.11906","issue":null,"first_page":"1","last_page":"6"},"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":1.0,"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":1.0,"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":0.998199999332428,"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":0.9799000024795532,"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/domain-adaptation","display_name":"Domain adaptation","score":0.9019324779510498},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.8170769810676575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7807272672653198},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7227814197540283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6912470459938049},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6676040887832642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49271610379219055},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.47579941153526306},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4209389388561249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41051626205444336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.405109703540802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1294553279876709},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0644916296005249},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.04935005307197571}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.9019324779510498},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.8170769810676575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807272672653198},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7227814197540283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6912470459938049},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6676040887832642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49271610379219055},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.47579941153526306},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4209389388561249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41051626205444336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.405109703540802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1294553279876709},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0644916296005249},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.04935005307197571},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"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:10.1109/mmsp59012.2023.10337727","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W1973190657","https://openalex.org/W2031342017","https://openalex.org/W2112796928","https://openalex.org/W2154579312","https://openalex.org/W2214409633","https://openalex.org/W2478454054","https://openalex.org/W2557626841","https://openalex.org/W2593768305","https://openalex.org/W2605488490","https://openalex.org/W2627183927","https://openalex.org/W2767699072","https://openalex.org/W2786297715","https://openalex.org/W2963118547","https://openalex.org/W2963327260","https://openalex.org/W2963532621","https://openalex.org/W2963706010","https://openalex.org/W2963784072","https://openalex.org/W2964288524","https://openalex.org/W2973077827","https://openalex.org/W3025800305","https://openalex.org/W3128918010","https://openalex.org/W3169226732","https://openalex.org/W3205880411","https://openalex.org/W4239147634","https://openalex.org/W4285117466","https://openalex.org/W4294375521","https://openalex.org/W4295534237","https://openalex.org/W4320013936","https://openalex.org/W6682751323","https://openalex.org/W6682778277","https://openalex.org/W6720691552","https://openalex.org/W6734871034","https://openalex.org/W6745620410","https://openalex.org/W6755976235"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3035557009","https://openalex.org/W4321649381","https://openalex.org/W3204418343","https://openalex.org/W2997645659","https://openalex.org/W2341113105","https://openalex.org/W2955172689","https://openalex.org/W3180787869"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"for":[3,75],"supervised":[4],"domain":[5,63,76,93],"adaptation":[6,64,77],"of":[7,65,72],"image":[8,66],"classifiers":[9],"via":[10],"saliency":[11,19,42,73],"augmentation.":[12],"The":[13],"idea":[14],"is":[15],"to":[16,21,37],"utilize":[17],"domain-independent":[18],"extraction":[20],"enrich":[22],"source":[23,97],"and":[24,27,82,108],"target":[25,92],"domains":[26],"bring":[28],"them":[29],"closer.":[30],"We":[31],"then":[32],"align":[33],"their":[34],"lower-order":[35],"statistics":[36],"solve":[38],"the":[39,49,52,62,91,96],"problem.":[40],"Because":[41],"augmentation":[43,74],"suppresses":[44],"uncommon":[45],"background":[46],"features":[47,54],"across":[48],"domains,":[50],"only":[51],"foreground":[53],"get":[55],"aligned,":[56],"as":[57],"one":[58],"would":[59],"desire":[60],"in":[61,90,95],"classifiers.":[67],"Exploring":[68],"this":[69],"new":[70],"direction":[71],"makes":[78],"our":[79,99,104],"work":[80],"novel":[81],"promising.":[83],"Despite":[84],"providing":[85],"far":[86],"fewer":[87],"labeled":[88],"data":[89],"than":[94],"domain,":[98],"extensive":[100],"experiments":[101],"comprehensively":[102],"demonstrate":[103],"method's":[105],"commendable":[106],"effectiveness":[107],"accuracy.":[109]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}