{"id":"https://openalex.org/W2411203195","doi":"https://doi.org/10.1145/2911996.2912027","title":"Object-aware Deep Network for Commodity Image Retrieval","display_name":"Object-aware Deep Network for Commodity Image Retrieval","publication_year":2016,"publication_date":"2016-06-06","ids":{"openalex":"https://openalex.org/W2411203195","doi":"https://doi.org/10.1145/2911996.2912027","mag":"2411203195"},"language":"en","primary_location":{"id":"doi:10.1145/2911996.2912027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911996.2912027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval","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/A5042982107","display_name":"Zhiwei Fang","orcid":"https://orcid.org/0000-0001-7516-901X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Fang","raw_affiliation_strings":["National Lab of Pattern Recognition,CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition,CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108392430","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-0903-9131"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["National Lab of Pattern Recognition,CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition,CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449566","display_name":"Yuhang Wang","orcid":"https://orcid.org/0000-0002-0949-0902"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Wang","raw_affiliation_strings":["National Lab of Pattern Recognition,CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition,CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355325","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-9685-2571"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["National Lab of Pattern Recognition,CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition,CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003862032","display_name":"Hang Song","orcid":"https://orcid.org/0000-0002-9805-4116"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Hang","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102146587","display_name":"Hanqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Lab of Pattern Recognition, CASIA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, CASIA, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"405","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8423342704772949},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.623086154460907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4876600503921509},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4714193046092987},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45935535430908203},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4583657383918762},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.447661429643631},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43381211161613464},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4136846363544464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3385070860385895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17635470628738403},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10764175653457642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8423342704772949},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.623086154460907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4876600503921509},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4714193046092987},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45935535430908203},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4583657383918762},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.447661429643631},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43381211161613464},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4136846363544464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3385070860385895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17635470628738403},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10764175653457642},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2911996.2912027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2911996.2912027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W2010642153","https://openalex.org/W2108598243","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2604272474","https://openalex.org/W2613718673","https://openalex.org/W2949117887","https://openalex.org/W2953106684","https://openalex.org/W2963173190","https://openalex.org/W2963989815"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255"],"abstract_inverted_index":{"Recent":[0],"years,":[1],"with":[2,71],"the":[3,30,58,67,79,83],"development":[4],"of":[5,9,82],"e-commerce":[6],"and":[7,52,66],"population":[8],"mobile":[10],"phones,":[11],"image-based":[12],"commodity":[13,26],"retrieval":[14],"has":[15],"attracted":[16],"much":[17],"attention.":[18],"This":[19],"paper":[20],"proposed":[21],"a":[22,72,88],"deep":[23],"framework":[24,39,84,92],"for":[25],"image":[27],"retrieval(CMIR)":[28],"from":[29],"view":[31],"that":[32],"they":[33],"are":[34],"same":[35],"designed":[36],"commodities.":[37],"Our":[38,91],"can":[40],"catch":[41],"as":[42,46],"many":[43],"design":[44],"details":[45],"possible":[47],"by":[48],"exploring":[49],"object":[50],"detection":[51],"ranking":[53],"sensitive":[54],"feature":[55],"learning,":[56],"while":[57],"former":[59],"is":[60,69,93,108],"performed":[61],"based":[62,99],"on":[63,95,100],"Faster":[64],"R-CNN,":[65],"later":[68],"learned":[70],"multi-task":[73],"Siamese":[74],"Network.":[75],"Besides,":[76],"we":[77],"refine":[78],"processing":[80],"speed":[81],"to":[85],"make":[86],"it":[87],"live":[89],"system.":[90],"implemented":[94],"an":[96],"android":[97],"application":[98],"Client/Server":[101],"structure":[102],"model":[103],"whose":[104],"server":[105],"response":[106],"time":[107],"about":[109],"150":[110],"ms":[111],"per":[112],"query.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}