{"id":"https://openalex.org/W4412864896","doi":"https://doi.org/10.1109/tgrs.2025.3589986","title":"ReCon1M: A Large-Scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery","display_name":"ReCon1M: A Large-Scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412864896","doi":"https://doi.org/10.1109/tgrs.2025.3589986"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3589986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3589986","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5101376998","display_name":"Qiwei Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Yan","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-6804-8276","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071811991","display_name":"Chubo Deng","orcid":"https://orcid.org/0000-0003-3469-5624"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chubo Deng","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3469-5624","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019880799","display_name":"Chenglong Liu","orcid":"https://orcid.org/0000-0003-0934-8161"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Liu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0934-8161","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102311975","display_name":"Zhongyan Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyan Hou","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-8447-9633","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020241743","display_name":"Xiaorui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Liu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076465320","display_name":"Yi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jiang","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026001351","display_name":"Wanxuan Lu","orcid":"https://orcid.org/0000-0003-4612-508X"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxuan Lu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4612-508X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075545191","display_name":"Fanglong Yao","orcid":"https://orcid.org/0000-0003-4187-9755"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanglong Yao","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4187-9755","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104327291","display_name":"Xiaoyu Liu","orcid":"https://orcid.org/0009-0003-3855-7533"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Liu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030081363","display_name":"Lingxiang Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxiang Hao","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006720439","display_name":"Hongfeng Yu","orcid":"https://orcid.org/0000-0002-8138-1372"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Yu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8138-1372","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":"https://orcid.org/0000-0002-0038-9816"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0038-9816","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology (TCAT) and the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14659045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"22"},"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":0.9987000226974487,"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":0.9987000226974487,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996999979019165,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7113474607467651},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6710770130157471},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6697161197662354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516281366348267},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.570746123790741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40518876910209656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563692271709442},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24473002552986145},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16708272695541382},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1037290096282959},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.08008718490600586}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7113474607467651},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6710770130157471},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6697161197662354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516281366348267},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.570746123790741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40518876910209656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563692271709442},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24473002552986145},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16708272695541382},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1037290096282959},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.08008718490600586}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3589986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3589986","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1139384782","display_name":null,"funder_award_id":"62306302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1420944043","display_name":null,"funder_award_id":"2023-CXPT-LC-005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3190026700","display_name":null,"funder_award_id":"62201550","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4152676905","display_name":null,"funder_award_id":"2021YFB3901201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6495409092","display_name":null,"funder_award_id":"42301437","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":85,"referenced_works":["https://openalex.org/W1748750709","https://openalex.org/W1861492603","https://openalex.org/W2049705550","https://openalex.org/W2077069816","https://openalex.org/W2102605133","https://openalex.org/W2121043743","https://openalex.org/W2124592697","https://openalex.org/W2158823144","https://openalex.org/W2159564241","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2250378130","https://openalex.org/W2250384498","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2479423890","https://openalex.org/W2512351403","https://openalex.org/W2579549467","https://openalex.org/W2591644541","https://openalex.org/W2607855566","https://openalex.org/W2776212699","https://openalex.org/W2779054585","https://openalex.org/W2789158025","https://openalex.org/W2801004733","https://openalex.org/W2807697862","https://openalex.org/W2886970679","https://openalex.org/W2889811054","https://openalex.org/W2901338647","https://openalex.org/W2904005494","https://openalex.org/W2908897581","https://openalex.org/W2935079508","https://openalex.org/W2947385066","https://openalex.org/W2962737704","https://openalex.org/W2963052338","https://openalex.org/W2963101956","https://openalex.org/W2963184176","https://openalex.org/W2963536419","https://openalex.org/W2963650529","https://openalex.org/W2963683498","https://openalex.org/W2964241181","https://openalex.org/W2964979676","https://openalex.org/W2966608828","https://openalex.org/W2969541233","https://openalex.org/W2969679616","https://openalex.org/W2982147439","https://openalex.org/W2987609140","https://openalex.org/W2989786123","https://openalex.org/W2992049873","https://openalex.org/W2992240579","https://openalex.org/W2995801068","https://openalex.org/W3034538190","https://openalex.org/W3034638741","https://openalex.org/W3034679267","https://openalex.org/W3034910302","https://openalex.org/W3035017890","https://openalex.org/W3036869132","https://openalex.org/W3092663126","https://openalex.org/W3100245404","https://openalex.org/W3127094814","https://openalex.org/W3128834674","https://openalex.org/W3140859556","https://openalex.org/W3170033848","https://openalex.org/W3172087149","https://openalex.org/W3181556077","https://openalex.org/W3186819486","https://openalex.org/W4214648418","https://openalex.org/W4226113955","https://openalex.org/W4226456028","https://openalex.org/W4285151875","https://openalex.org/W4287815368","https://openalex.org/W4288083516","https://openalex.org/W4288391486","https://openalex.org/W4324359021","https://openalex.org/W4386075638","https://openalex.org/W4386075828","https://openalex.org/W4394585886","https://openalex.org/W4404544782","https://openalex.org/W6620707391","https://openalex.org/W6678830454","https://openalex.org/W6756460506","https://openalex.org/W6757793228","https://openalex.org/W6766545348","https://openalex.org/W6767105951","https://openalex.org/W6770797462","https://openalex.org/W6776424751"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W2139939267","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Scene":[0],"graph":[1],"generation":[2],"(SGG)":[3],"is":[4,81,115,121,176],"a":[5,76,82,158],"high-level":[6],"visual":[7],"understanding":[8],"and":[9,19,63,125,142,165,195,203,220,259,275],"reasoning":[10],"task":[11],"aimed":[12],"at":[13,280],"extracting":[14],"entities":[15],"(such":[16],"as":[17],"objects)":[18],"their":[20],"interrelationships":[21],"from":[22],"images.":[23,72,129],"Significant":[24],"progress":[25],"has":[26],"been":[27],"made":[28],"in":[29,34,37,43,91,107,182,249,264],"the":[30,44,86,99,108,162,229,242,261],"study":[31],"of":[32,46,56,75,88,110,161,231,252],"SGG":[33,79,224],"natural":[35,71],"images":[36,49,59],"recent":[38],"years,":[39],"but":[40],"its":[41,209],"exploration":[42],"domain":[45],"remote":[47,57,111],"sensing":[48,58,112],"remains":[50],"very":[51],"limited.":[52],"The":[53,73,237,272],"complex":[54],"characteristics":[55,164],"necessitate":[60],"higher":[61],"time":[62],"manual":[64],"interpretation":[65],"costs":[66],"for":[67,133,269],"annotation":[68],"compared":[69],"to":[70,85,178,207,211],"lack":[74],"large-scale":[77],"public":[78],"benchmark":[80],"major":[83],"impediment":[84],"advancement":[87],"SGG-related":[89],"research":[90],"aerial":[92],"imagery.":[93],"In":[94,168],"this":[95,226],"article,":[96],"we":[97],"introduce":[98],"first":[100],"publicly":[101],"available":[102,279],"large-scale,":[103],"million-level":[104],"relation":[105,146,184],"dataset":[106,120,274],"field":[109],"images,":[113],"which":[114],"named":[116],"ReCon1M.":[117],"Specifically,":[118],"our":[119],"built":[122],"upon":[123],"FAIR1M":[124],"comprises":[126],"22":[127],"262":[128],"It":[130],"includes":[131],"annotations":[132],"873":[134],"761":[135],"object":[136,217],"bounding":[137,154],"boxes":[138],"across":[139,148,256],"60":[140],"categories":[141,150],"1":[143],"052":[144],"223":[145],"triplets":[147],"59":[149],"based":[151],"on":[152,225,234],"these":[153,235],"boxes.":[155],"We":[156,214],"provide":[157],"detailed":[159],"description":[160],"dataset\u2019s":[163],"statistical":[166],"information.":[167],"addition,":[169],"an":[170,187],"efficient":[171],"global":[172],"context-aware":[173],"network":[174],"(EGCAN)":[175],"proposed":[177,243],"improve":[179],"inference":[180],"efficiency":[181],"dense":[183],"prediction":[185],"through":[186],"object-pair":[188],"pre-screening":[189],"mechanism.":[190],"By":[191],"integrating":[192],"visual,":[193],"spatial,":[194],"semantic":[196],"features,":[197],"EGCAN":[198,244],"captures":[199],"fine-grained":[200],"pairwise":[201],"features":[202],"object-level":[204],"contextual":[205],"information":[206],"enhance":[208],"ability":[210],"discriminate":[212],"relation.":[213],"conduct":[215],"two":[216],"detection":[218],"tasks":[219,258],"three":[221,257],"subtasks":[222],"within":[223],"dataset,":[227],"assessing":[228],"performance":[230,248,263],"mainstream":[232],"methods":[233],"tasks.":[236],"experimental":[238],"results":[239],"show":[240],"that":[241],"achieves":[245],"state-of-the-art":[246],"(SOTA)":[247],"17":[250],"out":[251],"24":[253],"accuracy":[254],"metrics":[255],"delivers":[260],"best":[262],"frames":[265],"per":[266],"second":[267],"(FPS)":[268],"model":[270],"inference.":[271],"ReCon1M":[273],"related":[276],"resources":[277],"are":[278],"<uri":[281],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[282],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://recon1m-dataset.github.io/</uri>":[283]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
