{"id":"https://openalex.org/W4409916941","doi":"https://doi.org/10.1109/tii.2025.3558311","title":"Data-Efficient Object Detection on Construction Sites Using Reweighting Mechanism and Cross-Batch Contrastive Learning","display_name":"Data-Efficient Object Detection on Construction Sites Using Reweighting Mechanism and Cross-Batch Contrastive Learning","publication_year":2025,"publication_date":"2025-04-29","ids":{"openalex":"https://openalex.org/W4409916941","doi":"https://doi.org/10.1109/tii.2025.3558311"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3558311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3558311","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5000080881","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0003-3225-0576"},"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":true,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3225-0576","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101762938","display_name":"Lei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6336-048X","affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114115074","display_name":"Hongpu Huang","orcid":"https://orcid.org/0009-0003-0210-6589"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongpu Huang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0003-0210-6589","affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337694","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0003-4573-9047"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4573-9047","affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000080881"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":3.4979,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91371449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"21","issue":"8","first_page":"6028","last_page":"6037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.8486999869346619,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.8486999869346619,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.8179000020027161,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13567","display_name":"AI and Multimedia in Education","score":0.7616000175476074,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7028490304946899},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6318740844726562},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.604052722454071},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5908158421516418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5651770830154419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3122643232345581}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028490304946899},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6318740844726562},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.604052722454071},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5908158421516418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5651770830154419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3122643232345581},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3558311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3558311","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G2565581497","display_name":null,"funder_award_id":"92370203","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2788210750","https://openalex.org/W2963091558","https://openalex.org/W2964241181","https://openalex.org/W2970987838","https://openalex.org/W2971929189","https://openalex.org/W2989604896","https://openalex.org/W2996583130","https://openalex.org/W3034890557","https://openalex.org/W3034974675","https://openalex.org/W3035524453","https://openalex.org/W3110528336","https://openalex.org/W3154360923","https://openalex.org/W3169708801","https://openalex.org/W3177431918","https://openalex.org/W3207933943","https://openalex.org/W4288987448","https://openalex.org/W4289535682","https://openalex.org/W4291910378","https://openalex.org/W4307357050","https://openalex.org/W4390522034","https://openalex.org/W4393148213","https://openalex.org/W4393941313","https://openalex.org/W4396542421","https://openalex.org/W6768454739","https://openalex.org/W6774983715","https://openalex.org/W6776700526","https://openalex.org/W6791353385","https://openalex.org/W6792148081"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"object":[2],"detectors":[3],"face":[4],"unique":[5],"challenges":[6,58],"in":[7,139],"construction":[8,21,80,110],"sites,":[9],"including":[10],"severe":[11,92],"occlusions":[12,93],"from":[13],"complex":[14,95],"spatial":[15,96],"arrangements,":[16],"similar":[17,109],"appearances":[18],"between":[19,108],"different":[20],"elements,":[22],"and":[23,94,112],"computational":[24],"constraints":[25],"of":[26],"edge":[27,119],"devices.":[28],"While":[29],"few-shot":[30,71],"detection":[31,50,72],"methods":[32,138],"reduce":[33],"annotation":[34],"requirements,":[35],"existing":[36,137],"approaches":[37],"using":[38],"computationally":[39],"intensive":[40],"architectures":[41],"[e.g.,":[42],"Faster":[43],"region-based":[44],"convolutional":[45],"neural":[46],"network":[47],"(R-CNN)":[48],"or":[49],"transformer":[51],"(DETR)]":[52],"struggle":[53],"to":[54,90,104],"address":[55],"these":[56,65],"construction-specific":[57,140],"while":[59,131],"maintaining":[60,132],"real-time":[61,133],"performance.":[62],"To":[63],"tackle":[64],"issues,":[66],"we":[67],"propose":[68],"a":[69,86,99],"lightweight":[70],"framework":[73,83,125],"based":[74],"on":[75],"CenterNet2,":[76],"specifically":[77],"designed":[78],"for":[79,118],"environments.":[81],"Our":[82],"introduces,":[84],"first":[85],"dual":[87],"reweighting":[88],"mechanism":[89],"handle":[91],"relationships,":[97],"second":[98],"cross-batch":[100],"contrastive":[101],"learning":[102],"strategy":[103],"enhance":[105],"feature":[106],"discrimination":[107],"objects,":[111],"third":[113],"an":[114],"efficient":[115],"architecture":[116],"suitable":[117],"deployment.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"our":[124],"achieves":[126],"56.6%":[127],"mean":[128],"average":[129],"precision":[130],"performance,":[134],"significantly":[135],"outperforming":[136],"scenarios.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}