{"id":"https://openalex.org/W4392152061","doi":"https://doi.org/10.1109/tmm.2024.3369870","title":"Robust Saliency-Aware Distillation for Few-Shot Fine-Grained Visual Recognition","display_name":"Robust Saliency-Aware Distillation for Few-Shot Fine-Grained Visual Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392152061","doi":"https://doi.org/10.1109/tmm.2024.3369870"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3369870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3369870","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5103247095","display_name":"Haiqi Liu","orcid":"https://orcid.org/0009-0002-1456-8548"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqi Liu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059157146","display_name":"Xinrong Gong","orcid":"https://orcid.org/0000-0001-5821-6283"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrong Gong","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou, China","Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Brain and Affective Cognitive Research Center, Pazhou Lab, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103247095"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.7516,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95929301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"7529","last_page":"7542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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":0.8666919469833374},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6991479396820068},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6025614142417908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5542994141578674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46444395184516907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4504767060279846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4163059592247009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8666919469833374},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6991479396820068},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6025614142417908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5542994141578674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46444395184516907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4504767060279846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4163059592247009},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3369870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3369870","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1487701234","display_name":null,"funder_award_id":"62222603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2021969373","display_name":null,"funder_award_id":"92267203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3556693586","display_name":null,"funder_award_id":"2021ZD0200700","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G5198162578","display_name":null,"funder_award_id":"62076102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W1797268635","https://openalex.org/W1821462560","https://openalex.org/W1967632700","https://openalex.org/W1995318441","https://openalex.org/W2104657103","https://openalex.org/W2118696714","https://openalex.org/W2138011018","https://openalex.org/W2151103935","https://openalex.org/W2172100520","https://openalex.org/W2187089797","https://openalex.org/W2479109623","https://openalex.org/W2554320282","https://openalex.org/W2565639579","https://openalex.org/W2620998106","https://openalex.org/W2740667773","https://openalex.org/W2798775284","https://openalex.org/W2891951760","https://openalex.org/W2900082762","https://openalex.org/W2936864631","https://openalex.org/W2957105406","https://openalex.org/W2961348656","https://openalex.org/W2962858109","https://openalex.org/W2963350370","https://openalex.org/W2964105864","https://openalex.org/W2965572487","https://openalex.org/W2979689312","https://openalex.org/W2984145721","https://openalex.org/W2986604550","https://openalex.org/W2990154684","https://openalex.org/W2998676925","https://openalex.org/W3005359536","https://openalex.org/W3008809756","https://openalex.org/W3024883262","https://openalex.org/W3025800305","https://openalex.org/W3030401348","https://openalex.org/W3034185248","https://openalex.org/W3034312118","https://openalex.org/W3034827765","https://openalex.org/W3034978645","https://openalex.org/W3035422681","https://openalex.org/W3107763055","https://openalex.org/W3128671614","https://openalex.org/W3128999341","https://openalex.org/W3139434170","https://openalex.org/W3174027668","https://openalex.org/W3174102142","https://openalex.org/W3176341011","https://openalex.org/W3197005357","https://openalex.org/W3199011505","https://openalex.org/W3199257374","https://openalex.org/W3201987584","https://openalex.org/W3204826552","https://openalex.org/W3205249428","https://openalex.org/W3205365035","https://openalex.org/W3206402863","https://openalex.org/W3206734547","https://openalex.org/W3208364069","https://openalex.org/W3213192039","https://openalex.org/W4205536765","https://openalex.org/W4206237889","https://openalex.org/W4214669216","https://openalex.org/W4226426325","https://openalex.org/W4280538209","https://openalex.org/W4283802957","https://openalex.org/W4283834642","https://openalex.org/W4292169168","https://openalex.org/W4304084267","https://openalex.org/W4306643150","https://openalex.org/W4312929415","https://openalex.org/W4316660800","https://openalex.org/W4385338545","https://openalex.org/W4388739267","https://openalex.org/W4390874575","https://openalex.org/W4394758452","https://openalex.org/W6638319203","https://openalex.org/W6638523607","https://openalex.org/W6758126075","https://openalex.org/W6767471572","https://openalex.org/W6770404601","https://openalex.org/W6784333009","https://openalex.org/W6796782416","https://openalex.org/W6799489178","https://openalex.org/W6802865305","https://openalex.org/W6809782227","https://openalex.org/W6844056358","https://openalex.org/W6851543690","https://openalex.org/W6851607685"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Recognizing":[0],"novel":[1,69,164],"sub-categories":[2],"with":[3,125],"scarce":[4],"samples":[5],"is":[6,169],"an":[7],"essential":[8],"and":[9,146],"challenging":[10],"research":[11],"topic":[12],"in":[13,129],"computer":[14],"vision.":[15],"Existing":[16],"literature":[17],"addresses":[18],"this":[19,65],"challenge":[20],"by":[21],"employing":[22],"local-based":[23],"representation":[24,145],"approaches,":[25],"which":[26],"may":[27],"not":[28],"sufficiently":[29],"facilitate":[30,156],"meaningful":[31],"object-specific":[32,116],"semantic":[33],"understanding,":[34],"leading":[35],"to":[36,51,88,106,139,155,163],"a":[37,68,130],"reliance":[38],"on":[39,47,94,172],"apparent":[40],"background":[41],"correlations.":[42],"Moreover,":[43],"they":[44],"primarily":[45],"rely":[46],"high-dimensional":[48],"local":[49],"descriptors":[50],"construct":[52],"complex":[53],"embedding":[54],"space,":[55],"potentially":[56],"limiting":[57],"the":[58,62,90,95,102,108,141,144,149,157],"generalization.":[59],"To":[60],"address":[61],"above":[63],"challenges,":[64],"article":[66],"proposes":[67],"model,":[70],"Robust":[71],"Saliency-aware":[72],"Distillation":[73],"(RSaD),":[74],"for":[75,118],"few-shot":[76],"fine-grained":[77,119],"visual":[78],"recognition.":[79],"RSaD":[80,100,121,135],"introduces":[81],"additional":[82,115],"saliency-aware":[83],"supervision":[84],"via":[85],"saliency":[86,103],"detection":[87,104],"guide":[89],"model":[91,105],"toward":[92],"focusing":[93],"intrinsic":[96],"discriminative":[97],"regions.":[98],"Specifically,":[99],"utilizes":[101],"emphasize":[107],"critical":[109],"regions":[110],"of":[111,143],"each":[112],"sub-category,":[113],"providing":[114],"information":[117,124],"prediction.":[120],"transfers":[122],"such":[123],"two":[126],"symmetric":[127],"branches":[128],"mutual":[131],"learning":[132],"paradigm.":[133],"Furthermore,":[134],"exploits":[136],"inter-regional":[137],"relationships":[138],"enhance":[140],"informativeness":[142],"subsequently":[147],"summarize":[148],"highlighted":[150],"details":[151],"into":[152],"contextual":[153],"embeddings":[154],"effective":[158],"transfer,":[159],"enabling":[160],"quick":[161],"generalization":[162],"sub-categories.":[165],"The":[166],"proposed":[167],"approach":[168],"empirically":[170],"evaluated":[171],"three":[173],"widely":[174],"used":[175],"benchmarks,":[176],"demonstrating":[177],"its":[178],"superior":[179],"performance.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2024-02-27T00:00:00"}
