{"id":"https://openalex.org/W2981922830","doi":"https://doi.org/10.1145/3343031.3350900","title":"TC-Net for iSBIR","display_name":"TC-Net for iSBIR","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981922830","doi":"https://doi.org/10.1145/3343031.3350900","mag":"2981922830"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5064702771","display_name":"Hangyu Lin","orcid":"https://orcid.org/0000-0002-0538-7692"},"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":"Hangyu Lin","raw_affiliation_strings":["Fudan Univerisity, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan Univerisity, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959430","display_name":"Yanwei Fu","orcid":"https://orcid.org/0000-0002-6595-6893"},"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":"Yanwei Fu","raw_affiliation_strings":["Fudan Univerisity &amp; Fudan-Xinzailing Joint Research Centre for Big Data, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan Univerisity &amp; Fudan-Xinzailing Joint Research Centre for Big Data, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050577","display_name":"Peng Lu","orcid":"https://orcid.org/0000-0002-0162-6449"},"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":"Peng Lu","raw_affiliation_strings":["Fudan Univerisity, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan Univerisity, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"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":"Xiangyang Xue","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"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":"Yu-Gang Jiang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064702771"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":2.6318,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.92253015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1684"},"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":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/sketch","display_name":"Sketch","score":0.9103788137435913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7939813733100891},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7825789451599121},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.6688306331634521},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6357499361038208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4999561309814453},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46673309803009033},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4562337398529053},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4430139362812042},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4380190372467041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4145168960094452},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3864540755748749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3327274024486542},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13450857996940613},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07163318991661072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07108372449874878}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9103788137435913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939813733100891},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7825789451599121},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.6688306331634521},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6357499361038208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4999561309814453},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46673309803009033},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4562337398529053},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4430139362812042},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4380190372467041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4145168960094452},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3864540755748749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3327274024486542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13450857996940613},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07163318991661072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07108372449874878},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3343031.3350900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/103911","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/103911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W69951162","https://openalex.org/W1892078565","https://openalex.org/W1972420097","https://openalex.org/W1975771248","https://openalex.org/W2048546747","https://openalex.org/W2070753207","https://openalex.org/W2089995859","https://openalex.org/W2102662521","https://openalex.org/W2108598243","https://openalex.org/W2128543433","https://openalex.org/W2136763397","https://openalex.org/W2145023731","https://openalex.org/W2145287260","https://openalex.org/W2148357922","https://openalex.org/W2153404544","https://openalex.org/W2163605009","https://openalex.org/W2170881581","https://openalex.org/W2332729875","https://openalex.org/W2466618734","https://openalex.org/W2467139031","https://openalex.org/W2467281799","https://openalex.org/W2493181180","https://openalex.org/W2508837377","https://openalex.org/W2520378283","https://openalex.org/W2520774990","https://openalex.org/W2526833393","https://openalex.org/W2598634450","https://openalex.org/W2603445054","https://openalex.org/W2609296554","https://openalex.org/W2737608545","https://openalex.org/W2765732869","https://openalex.org/W2776402438","https://openalex.org/W2781292787","https://openalex.org/W2795662094","https://openalex.org/W2798663041","https://openalex.org/W2800923548","https://openalex.org/W2883672875","https://openalex.org/W2895687296","https://openalex.org/W2952320381","https://openalex.org/W2962898354","https://openalex.org/W2963446712","https://openalex.org/W3099206234"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W1971224820","https://openalex.org/W13629514","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W1573697454","https://openalex.org/W2966897482"],"abstract_inverted_index":{"Sketch":[0,30],"has":[1,22,36,95,102],"been":[2,23],"employed":[3,54],"as":[4,55],"an":[5,81,89,135,172],"effective":[6],"communication":[7],"tool":[8],"to":[9,71,103,141],"express":[10],"the":[11,28,60,77,100,131,142,150,159,178,209,221,224],"abstract":[12],"and":[13,49,65,74,148,201,227],"intuitive":[14],"meaning":[15],"of":[16,110,133,144,161,194,223],"object.":[17],"While":[18],"content-based":[19],"sketch":[20,116],"recognition":[21],"studied":[24],"for":[25,189],"several":[26,96,218],"decades,":[27],"instance-level":[29],"Based":[31],"Image":[32],"Retrieval":[33],"(iSBIR)":[34],"task":[35],"attracted":[37],"significant":[38,108],"research":[39],"attention":[40],"recently.":[41],"In":[42],"many":[43],"previous":[44,162,213],"iSBIR":[45,82,93,136,163,174,190],"works":[46],"--":[47],"TripletSN,":[48],"DSSA,":[50],"edge":[51,78,90,111,145,179],"maps":[52,79],"were":[53],"intermediate":[56],"representations":[57],"in":[58,80,157,212],"bridging":[59],"cross-domain":[61],"discrepancy":[62],"between":[63],"photos":[64],"sketches.":[66],"However,":[67],"it":[68],"is":[69,138,153,192],"nontrivial":[70],"efficiently":[72],"train":[73],"effectively":[75],"use":[76],"system.":[83,228],"Particularly,":[84],"we":[85,182],"find":[86],"that":[87],"such":[88,134],"map":[91],"based":[92],"system":[94,101,137,175],"major":[97,196],"limitations.":[98],"First,":[99],"be":[104],"pre-trained":[105],"on":[106,217],"a":[107,184],"amount":[109],"maps,":[112],"either":[113],"from":[114,122],"large-scale":[115,124],"datasets,":[117,126],"e.g.,":[118,127],"TU-Berlin~\\citeeitz2012hdhso,":[119],"or":[120],"converted":[121],"other":[123],"image":[125],"ImageNet-1K\\citedeng2009imagenet":[128],"dataset.":[129],"Second,":[130],"performance":[132,160],"very":[139,155],"sensitive":[140],"quality":[143],"maps.":[146,180],"Third":[147],"empirically,":[149],"multi-cropping":[151],"strategy":[152],"essentially":[154],"important":[156],"improving":[158],"systems.":[164],"To":[165],"address":[166],"these":[167],"limitations,":[168],"this":[169],"paper":[170],"advocates":[171],"end-to-end":[173],"without":[176],"using":[177],"Specifically,":[181],"present":[183],"Triplet":[185],"Classification":[186],"Network":[187],"(TC-Net)":[188],"which":[191],"composed":[193],"two":[195],"components:":[197],"triplet":[198],"Siamese":[199],"network,":[200],"auxiliary":[202],"classification":[203],"loss.":[204],"Our":[205],"TC-Net":[206],"can":[207],"break":[208],"limitations":[210],"existed":[211],"works.":[214],"Extensive":[215],"experiments":[216],"datasets":[219],"validate":[220],"efficacy":[222],"proposed":[225],"network":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-01T00:00:00"}
