{"id":"https://openalex.org/W4320059067","doi":"https://doi.org/10.1145/3573910.3573919","title":"Multi-Scale Deformable Context Fusion Pyramid Network for Object Detection in Aerial Images","display_name":"Multi-Scale Deformable Context Fusion Pyramid Network for Object Detection in Aerial Images","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4320059067","doi":"https://doi.org/10.1145/3573910.3573919"},"language":"en","primary_location":{"id":"doi:10.1145/3573910.3573919","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573910.3573919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Robotics and Artificial Intelligence","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/A5037623842","display_name":"Kun Cao","orcid":"https://orcid.org/0000-0002-3800-1602"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Cao","raw_affiliation_strings":["Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-3800-1602","affiliations":[{"raw_affiliation_string":"Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079806290","display_name":"Jieyun Pan","orcid":"https://orcid.org/0000-0002-9578-5431"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyun Pan","raw_affiliation_strings":["Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-9578-5431","affiliations":[{"raw_affiliation_string":"Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085255636","display_name":"Bingxin Zhao","orcid":"https://orcid.org/0000-0001-7659-5846"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxin Zhao","raw_affiliation_strings":["Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0001-7659-5846","affiliations":[{"raw_affiliation_string":"Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781284","display_name":"Weihong Li","orcid":"https://orcid.org/0000-0002-6462-1848"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Li","raw_affiliation_strings":["Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0002-6462-1848","affiliations":[{"raw_affiliation_string":"Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014888447","display_name":"Tianyang Zhang","orcid":"https://orcid.org/0000-0001-6632-3855"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Zhang","raw_affiliation_strings":["Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China"],"raw_orcid":"https://orcid.org/0000-0001-6632-3855","affiliations":[{"raw_affiliation_string":"Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, Key Lab of Optoelectronic Technology &amp; Systems of Education Ministry Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.8402515649795532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442708015441895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7326416969299316},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7252459526062012},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7023213505744934},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.6825305223464966},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6570950746536255},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6009126305580139},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5164604187011719},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4629982113838196},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41504332423210144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.351417601108551},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24547305703163147},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09356716275215149},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0829724371433258},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07719025015830994},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07107806205749512}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8402515649795532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442708015441895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7326416969299316},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7252459526062012},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7023213505744934},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.6825305223464966},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6570950746536255},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6009126305580139},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5164604187011719},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4629982113838196},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41504332423210144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.351417601108551},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24547305703163147},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09356716275215149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0829724371433258},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07719025015830994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07107806205749512},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573910.3573919","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573910.3573919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2966926453","https://openalex.org/W2988916019","https://openalex.org/W2992240579","https://openalex.org/W3009818596","https://openalex.org/W3034307881","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3108849448","https://openalex.org/W3170033848","https://openalex.org/W3172752666","https://openalex.org/W3174873843"],"related_works":["https://openalex.org/W4396860960","https://openalex.org/W4390482660","https://openalex.org/W2972256598","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W4280568880","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474","https://openalex.org/W2099047584"],"abstract_inverted_index":{"In":[0,47,68,95],"recent":[1],"years,":[2],"although":[3],"many":[4],"methods":[5],"have":[6],"made":[7],"good":[8],"progress":[9],"in":[10,44,91],"the":[11,23,28,62,69,124,140,148,151,168,178,187,191],"object":[12,63],"detection":[13,24,64],"of":[14,39,65,100,103,144,150],"aerial":[15,45,66,160],"images,":[16],"it":[17],"is":[18],"still":[19],"difficult":[20],"to":[21,27],"improve":[22],"accuracy":[25],"due":[26],"large":[29,37],"scale":[30],"variation,":[31],"exceptional":[32,127],"aspect":[33,128],"ratios":[34,129],"and":[35,41,114,135,165,167,173],"a":[36,52,75,92,101,132],"number":[38],"small":[40],"dense":[42],"objects":[43,125],"images.":[46,67],"this":[48],"paper,":[49],"we":[50,73,154],"propose":[51],"Multi-Scale":[53,71,76],"Deformable":[54,77,106],"Context":[55,78,107,116],"Fusion":[56,79,117],"Pyramid":[57,88],"Network":[58,89],"(Multi-Scale":[59],"DCFPN)":[60],"for":[61],"proposed":[70,152,188],"DCFPN,":[72],"design":[74],"(MDCF)":[80],"module,":[81],"which":[82],"injects":[83],"context":[84,142],"information":[85],"into":[86],"Feature":[87],"(FPN)":[90],"residual":[93],"manner.":[94],"particularly,":[96],"MDCF":[97],"module":[98,109,121,137],"consists":[99],"set":[102],"parallel":[104],"Adaptive":[105,115],"(ADC)":[108],"with":[110,126,177],"special":[111],"dilated":[112],"rates":[113],"(ACF)":[118],"module.":[119],"ADC":[120],"focus":[122],"on":[123,159],"by":[130,171],"introducing":[131],"deformable":[133],"paradigm,":[134],"ACF":[136],"adaptively":[138],"combines":[139],"multi-scale":[141],"instead":[143],"summation.":[145],"To":[146],"verify":[147],"effectiveness":[149],"method,":[153],"execute":[155],"some":[156],"comparative":[157],"experiments":[158],"public":[161],"datasets":[162],"NWPU":[163],"VHR-10":[164],"DIOR,":[166],"mAP":[169],"increased":[170],"3.5":[172],"1.0":[174],"points":[175],"compared":[176],"baseline,":[179],"respectively.":[180],"The":[181],"experimental":[182],"results":[183],"also":[184],"show":[185],"that":[186],"method":[189],"outperforms":[190],"state-of-the-art":[192],"methods.":[193]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
