{"id":"https://openalex.org/W4385484666","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191110","title":"SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification","display_name":"SFMNet: Self-guided Feature Mining Network for Vehicle Re-identification","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484666","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191110"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5102884164","display_name":"Zhangwei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangwei Li","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China","Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073135288","display_name":"Yuhui Deng","orcid":"https://orcid.org/0000-0002-1522-8943"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Deng","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China","Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101905596","display_name":"Zhimin Tang","orcid":"https://orcid.org/0000-0002-9265-5578"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Tang","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China","Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025522422","display_name":"Junhao Huang","orcid":"https://orcid.org/0000-0002-0074-2851"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Huang","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China","Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7859,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73954058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/discriminative-model","display_name":"Discriminative model","score":0.8129173517227173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7887483239173889},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7124506235122681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6278495788574219},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6096029281616211},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5827482342720032},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5595163702964783},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5565454959869385},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5328892469406128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4674101173877716},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45915570855140686},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4143870770931244},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.31822875142097473},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31304189562797546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30054229497909546}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8129173517227173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887483239173889},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7124506235122681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6278495788574219},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6096029281616211},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5827482342720032},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5595163702964783},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5565454959869385},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5328892469406128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4674101173877716},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45915570855140686},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4143870770931244},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.31822875142097473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31304189562797546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30054229497909546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2432402544","https://openalex.org/W2470322391","https://openalex.org/W2512434173","https://openalex.org/W2519904008","https://openalex.org/W2756012011","https://openalex.org/W2776879428","https://openalex.org/W2936222941","https://openalex.org/W2944972389","https://openalex.org/W2953759675","https://openalex.org/W2954392664","https://openalex.org/W2955854238","https://openalex.org/W2962858109","https://openalex.org/W2967515867","https://openalex.org/W2980046511","https://openalex.org/W2983188006","https://openalex.org/W2997351135","https://openalex.org/W2998310459","https://openalex.org/W2998508940","https://openalex.org/W3004918942","https://openalex.org/W3020152020","https://openalex.org/W3034373842","https://openalex.org/W3035569526","https://openalex.org/W3035645942","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3096818755","https://openalex.org/W3098711604","https://openalex.org/W3100555577","https://openalex.org/W3109976024","https://openalex.org/W3114896399","https://openalex.org/W3139434170","https://openalex.org/W3168649818","https://openalex.org/W3195399086","https://openalex.org/W4214736485","https://openalex.org/W4283073866","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6746925727","https://openalex.org/W6763179268","https://openalex.org/W6765054174","https://openalex.org/W6773036240","https://openalex.org/W6778485988","https://openalex.org/W6783777085","https://openalex.org/W6784333009","https://openalex.org/W6784740494","https://openalex.org/W6787826751","https://openalex.org/W6838620871"],"related_works":["https://openalex.org/W2566406229","https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2376984068","https://openalex.org/W2152482390","https://openalex.org/W2365617273","https://openalex.org/W2076896210","https://openalex.org/W2506386910","https://openalex.org/W2117928543"],"abstract_inverted_index":{"Vehicle":[0],"Re-identification":[1],"(Re-ID)":[2],"is":[3,39],"very":[4],"important":[5,41],"in":[6,29],"intelligent":[7],"transportation":[8],"and":[9,37,97,126,162,176,189],"video":[10],"surveillance.":[11],"Most":[12],"previous":[13],"works":[14,54],"mainly":[15],"extract":[16,43],"discriminative":[17,164],"features":[18,45,57,100,161],"from":[19],"the":[20,26,30,34,47,50,121,129,133,136,139,171],"visual":[21,165],"appearance":[22],"of":[23,89,135,173],"vehicles.":[24,90],"However,":[25],"irrelevant":[27],"background":[28,80,95,123,130,137],"image":[31,122,140],"will":[32],"affect":[33],"extracted":[35,55],"features,":[36],"it":[38],"also":[40],"to":[42,93,103,131,158],"fine-grained":[44,86,99,160],"because":[46],"vehicles":[48],"have":[49,106],"same":[51],"style.":[52],"Previous":[53],"robust":[56],"by":[58],"manual":[59],"annotation,":[60,83,125],"which":[61],"was":[62],"inefficient.":[63],"To":[64],"solve":[65],"this":[66,68],"problem,":[67],"paper":[69],"proposes":[70],"a":[71,152],"self-guided":[72],"feature":[73,87,145],"mining":[74,85],"network":[75],"(SFMNet)":[76],"that":[77],"can":[78,119],"eliminate":[79,94,132],"intervention":[81,96,134],"without":[82,101,124,154],"while":[84],"information":[88],"In":[91],"order":[92],"mine":[98,159],"resorting":[102],"annotations,":[104],"we":[105,177],"carefully":[107],"designed":[108],"two":[109],"novel":[110],"modules.":[111],"(i)":[112],"The":[113,143],"noise":[114],"patch":[115],"filter":[116,127],"(NPF)":[117],"module":[118,148],"identify":[120],"out":[128],"on":[138,181],"features.":[141,167],"(ii)":[142],"salient":[144],"extraction":[146],"(SFE)":[147],"uses":[149],"self-attention":[150],"as":[151],"guide":[153],"vehicle":[155],"component":[156],"annotation":[157],"enhance":[163],"cue":[166],"Extensive":[168],"experiments":[169],"demonstrate":[170],"effectiveness":[172],"our":[174],"method,":[175],"achieve":[178],"state-of-the-art":[179],"results":[180],"three":[182],"publicly":[183],"available":[184],"datasets,":[185],"including":[186],"Veri-776,":[187],"VehicleID,":[188],"VERI-WILD.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
