{"id":"https://openalex.org/W4392903485","doi":"https://doi.org/10.1109/icassp48485.2024.10447810","title":"Target Optimization Direction Guided Transfer Learning for Image Classification","display_name":"Target Optimization Direction Guided Transfer Learning for Image Classification","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903485","doi":"https://doi.org/10.1109/icassp48485.2024.10447810"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447810","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":"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/A5102631465","display_name":"Kelvin Ting Zuo Han","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kelvin Ting Zuo Han","raw_affiliation_strings":["FuDan University,School of Computer Science,Shanghai,China","School of Computer Science, FuDan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"FuDan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, FuDan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070429750","display_name":"Shengxuming Zhang","orcid":"https://orcid.org/0000-0002-8827-9012"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxuming Zhang","raw_affiliation_strings":["ZheJiang University,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, ZheJiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"ZheJiang University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, ZheJiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094178936","display_name":"Gerard Marcos Freixas","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gerard Marcos Freixas","raw_affiliation_strings":["FuDan University,School of Computer Science,Shanghai,China","School of Computer Science, FuDan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"FuDan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, FuDan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043914348","display_name":"Zunlei Feng","orcid":"https://orcid.org/0000-0001-8640-8434"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunlei Feng","raw_affiliation_strings":["ZheJiang University,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, ZheJiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"ZheJiang University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, ZheJiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625873","display_name":"Cheng Jin","orcid":"https://orcid.org/0000-0003-3063-1957"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["FuDan University,School of Computer Science,Shanghai,China","School of Computer Science, FuDan University, Shanghai, China","MCT, Innovation Center of Calligraphy and Painting Creation Technology, China"],"affiliations":[{"raw_affiliation_string":"FuDan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, FuDan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"MCT, Innovation Center of Calligraphy and Painting Creation Technology, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102631465"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02601518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"6445","last_page":"6449"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.9975000023841858,"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":0.8052505254745483},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7680692672729492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6948317289352417},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6509915590286255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5673757791519165},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5664026737213135},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5634480714797974},{"id":"https://openalex.org/keywords/inductive-transfer","display_name":"Inductive transfer","score":0.5502526760101318},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.543709933757782},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4797055125236511},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.417513370513916},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41576844453811646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33472853899002075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19241854548454285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1132870614528656},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.0872834324836731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052505254745483},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7680692672729492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6948317289352417},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6509915590286255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5673757791519165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5664026737213135},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5634480714797974},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.5502526760101318},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.543709933757782},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4797055125236511},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.417513370513916},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41576844453811646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33472853899002075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19241854548454285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1132870614528656},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.0872834324836731},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447810","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447810","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1722318740","https://openalex.org/W1834627138","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2910745941","https://openalex.org/W2950673314","https://openalex.org/W2963043696","https://openalex.org/W2972887897","https://openalex.org/W3041434171","https://openalex.org/W3092189037","https://openalex.org/W3118608800","https://openalex.org/W4225981399","https://openalex.org/W4226058880","https://openalex.org/W4288054906","https://openalex.org/W4320020155","https://openalex.org/W4324142429","https://openalex.org/W4385681758","https://openalex.org/W4386083084","https://openalex.org/W4388038112","https://openalex.org/W6634343353","https://openalex.org/W6745134051","https://openalex.org/W6754005058","https://openalex.org/W6758130285","https://openalex.org/W6771876938","https://openalex.org/W6780999974","https://openalex.org/W6783990525","https://openalex.org/W6787972765","https://openalex.org/W6810195524","https://openalex.org/W6810261015","https://openalex.org/W6811282592","https://openalex.org/W6840458696","https://openalex.org/W6849832470","https://openalex.org/W6855631580"],"related_works":["https://openalex.org/W3016888008","https://openalex.org/W4387770285","https://openalex.org/W2165698076","https://openalex.org/W3022215768","https://openalex.org/W4387183713","https://openalex.org/W4382138864","https://openalex.org/W2821676139","https://openalex.org/W3135975972","https://openalex.org/W4403518771","https://openalex.org/W4287255623"],"abstract_inverted_index":{"At":[0],"present,":[1],"deep":[2,14],"learning":[3,63,87,140],"has":[4,36,127],"made":[5],"impressive":[6],"achievements":[7],"in":[8,131],"various":[9],"fields;":[10],"however,":[11],"effectively":[12],"training":[13,32],"neural":[15],"networks":[16],"on":[17],"small":[18],"data":[19,51],"sets":[20],"remains":[21],"a":[22,28,84],"significant":[23],"challenge.":[24],"Transfer":[25],"learning,":[26],"as":[27],"method":[29,88,102,126,147],"of":[30,93,99,107,115],"efficient":[31],"across":[33],"multiple":[34],"tasks,":[35,124],"been":[37],"widely":[38],"used":[39],"to":[40,75],"solve":[41],"this":[42,80,125,146],"problem.":[43],"However,":[44],"when":[45],"the":[46,50,55,61,77,91,97,104,108,112,116,142],"domain":[47],"gap":[48],"or":[49],"volume":[52],"difference":[53],"between":[54],"two":[56],"tasks":[57],"is":[58],"too":[59],"large,":[60],"transfer":[62,86,139],"may":[64],"not":[65],"perform":[66],"well,":[67],"and":[68,122,133],"other":[69,138],"optimization":[70,95],"methods":[71],"will":[72],"be":[73],"required":[74],"improve":[76],"performance.":[78,134],"In":[79,119,135],"paper,":[81],"we":[82],"propose":[83],"new":[85],"guided":[89],"by":[90,145],"direction":[92,106,114],"objective":[94],"from":[96],"perspective":[98],"gradient.":[100],"This":[101],"guides":[103],"gradient":[105,113],"source":[109],"task":[110],"towards":[111],"target":[117],"task.":[118],"several":[120],"similar":[121],"conflicting":[123],"achieved":[128],"good":[129],"results":[130,143],"efficiency":[132],"comparison":[136],"with":[137],"methods,":[141],"shown":[144],"are":[148],"generally":[149],"better.":[150]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}