{"id":"https://openalex.org/W4392909669","doi":"https://doi.org/10.1109/icassp48485.2024.10447665","title":"Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images","display_name":"Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909669","doi":"https://doi.org/10.1109/icassp48485.2024.10447665"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113405471","display_name":"Mohamad Hassan N C","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohamad Hassan N C","raw_affiliation_strings":["Indian Institute of Technology Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077592877","display_name":"Avigyan Bhattacharya","orcid":"https://orcid.org/0000-0002-9567-1346"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avigyan Bhattacharya","raw_affiliation_strings":["Indian Institute of Technology Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057018101","display_name":"Victor G. Turrisi da Costa","orcid":"https://orcid.org/0000-0003-2597-4998"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Victor G. Turrisi Da Costa","raw_affiliation_strings":["University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020786167","display_name":"Biplab Banerjee","orcid":"https://orcid.org/0000-0001-8371-8138"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biplab Banerjee","raw_affiliation_strings":["Indian Institute of Technology Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065059558","display_name":"Elisa Ricci","orcid":"https://orcid.org/0000-0002-0228-1147"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisa Ricci","raw_affiliation_strings":["University of Trento","Fondazione Bruno Kessler"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Fondazione Bruno Kessler","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5470","last_page":"5474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8141000270843506,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8141000270843506,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.8129000067710876,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7045999765396118,"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/robustness","display_name":"Robustness (evolution)","score":0.8314220905303955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111631631851196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762804746627808},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42590975761413574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3644508123397827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3578881025314331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33981502056121826}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8314220905303955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111631631851196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762804746627808},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42590975761413574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644508123397827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3578881025314331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33981502056121826},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2795155917","https://openalex.org/W2798658180","https://openalex.org/W2889326414","https://openalex.org/W2948069880","https://openalex.org/W2981720610","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3134652006","https://openalex.org/W3145450063","https://openalex.org/W3159481202","https://openalex.org/W3188717957","https://openalex.org/W4286850199","https://openalex.org/W4287028988","https://openalex.org/W4367000428","https://openalex.org/W4386076215","https://openalex.org/W6750109254","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6779997284","https://openalex.org/W6791742336","https://openalex.org/W6804811285","https://openalex.org/W6851949647"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072","https://openalex.org/W2142809053"],"abstract_inverted_index":{"We":[0,94],"present":[1],"a":[2,36,63],"novel":[3],"method":[4],"for":[5],"improving":[6],"the":[7,41,52,55,71,82,86,104,133,141],"adaptability":[8],"of":[9,48,54,66,135,143],"self-supervised":[10],"(SSL)":[11],"pre-trained":[12,95,144],"models":[13],"across":[14],"different":[15,96],"domains.":[16,57,93],"Our":[17,119],"approach":[18],"uses":[19],"synthetic":[20,46,79,105,137],"images":[21,68,80,106],"that":[22,49,69],"are":[23],"generated":[24],"using":[25],"an":[26],"auxiliary":[27],"diffusion":[28,42],"model,":[29],"namely":[30],"InstructPix2Pix.":[31],"More":[32],"specifically,":[33],"starting":[34],"from":[35],"real":[37,75],"image,":[38],"we":[39],"prompt":[40],"model":[43],"to":[44,61,89,91,139],"generate":[45,62],"versions":[47],"image":[50],"in":[51,124,132],"style":[53],"target":[56],"This":[58],"allows":[59],"us":[60],"diverse":[64],"set":[65],"multi-domain":[67,113],"share":[70],"same":[72],"semantics":[73],"as":[74],"images.":[76],"Integrating":[77],"these":[78],"into":[81],"training":[83],"dataset":[84],"enhances":[85],"model\u2019s":[87],"capacity":[88],"generalize":[90],"other":[92],"SSL":[97],"methods":[98],"on":[99,111],"Imagenet-100":[100],"with":[101],"and":[102,107,117,127],"without":[103],"evaluated":[108],"their":[109],"performance":[110],"three":[112],"datasets,":[114],"DomainNet,":[115],"PACS,":[116],"Office-Home.":[118],"results":[120],"show":[121],"significant":[122],"improvements":[123],"all":[125],"datasets":[126],"methods,":[128],"encouraging":[129],"new":[130],"research":[131],"direction":[134],"leveraging":[136],"data":[138],"improve":[140],"robustness":[142],"models.":[145],"Code":[146],"is":[147],"available":[148],"at":[149],"https://github.com/has97/Diffusion_pre-training.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
