{"id":"https://openalex.org/W4409014557","doi":"https://doi.org/10.1109/tgrs.2025.3556469","title":"CFENet: Contextual Feature Enhancement Network for Tiny Object Detection in Aerial Images","display_name":"CFENet: Contextual Feature Enhancement Network for Tiny Object Detection in Aerial Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409014557","doi":"https://doi.org/10.1109/tgrs.2025.3556469"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3556469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556469","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/A5009254474","display_name":"Heng Hu","orcid":"https://orcid.org/0009-0005-7817-4726"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Hu","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-7817-4726","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897927","display_name":"Si-Bao Chen","orcid":"https://orcid.org/0000-0003-1481-0162"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Bao Chen","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1481-0162","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8375-3590","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":3.8276,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93319332,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9962999820709229,"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":0.9954000115394592,"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/object-detection","display_name":"Object detection","score":0.6881715059280396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6764335036277771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739002466201782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495820879936218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6144658327102661},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5135564804077148},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5040099024772644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5025074481964111},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42846667766571045},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42429226636886597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23805788159370422},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2142317295074463}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6881715059280396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6764335036277771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739002466201782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495820879936218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6144658327102661},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5135564804077148},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5040099024772644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5025074481964111},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42846667766571045},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42429226636886597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23805788159370422},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2142317295074463},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/tgrs.2025.3556469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3556469","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/G1244492877","display_name":null,"funder_award_id":"62106006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6474056369","display_name":null,"funder_award_id":"61976004","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2504335775","https://openalex.org/W2565639579","https://openalex.org/W2594258618","https://openalex.org/W2795812085","https://openalex.org/W2924873663","https://openalex.org/W2934198733","https://openalex.org/W2962766617","https://openalex.org/W2962917547","https://openalex.org/W2962992847","https://openalex.org/W2963351448","https://openalex.org/W2963856926","https://openalex.org/W2963857746","https://openalex.org/W2964010755","https://openalex.org/W2964093967","https://openalex.org/W2964241181","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2988452521","https://openalex.org/W2989604896","https://openalex.org/W2990763144","https://openalex.org/W3009396058","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3108849448","https://openalex.org/W3122173535","https://openalex.org/W3160733999","https://openalex.org/W3167308647","https://openalex.org/W3175630421","https://openalex.org/W3177257155","https://openalex.org/W3208645658","https://openalex.org/W4205659311","https://openalex.org/W4281790833","https://openalex.org/W4283717190","https://openalex.org/W4312820606","https://openalex.org/W4312823573","https://openalex.org/W4313172897","https://openalex.org/W4379928223","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4386076539","https://openalex.org/W4390872550","https://openalex.org/W4390872670","https://openalex.org/W4391559729","https://openalex.org/W4392157793","https://openalex.org/W4392979863","https://openalex.org/W4396605538","https://openalex.org/W6620707391","https://openalex.org/W6751325469","https://openalex.org/W6788870397","https://openalex.org/W6802878479","https://openalex.org/W6862000706","https://openalex.org/W6868582632","https://openalex.org/W6875285273"],"related_works":["https://openalex.org/W4292830139","https://openalex.org/W4396860960","https://openalex.org/W4319309705","https://openalex.org/W4390482660","https://openalex.org/W2972256598","https://openalex.org/W2610408157","https://openalex.org/W4388813151","https://openalex.org/W2612465689","https://openalex.org/W4284972948","https://openalex.org/W4237245474"],"abstract_inverted_index":{"With":[0],"the":[1,10,62,79,85,118,136,168,176,188,193,203,214,223],"development":[2],"of":[3,12,28,56,64,81,120,192,205,225],"deep":[4],"learning":[5],"techniques":[6],"and":[7,30,156,184,195,219],"object":[8,13,104,115,132,162],"detectors,":[9],"performance":[11,46],"detection":[14,45,119,199,204],"has":[15,43],"been":[16],"rapidly":[17],"improved.":[18],"However,":[19],"since":[20],"tiny":[21,70,121,161,206],"objects":[22,71],"contain":[23],"only":[24],"a":[25,90,128,146,198],"small":[26],"number":[27],"pixels":[29],"lack":[31],"appearance":[32],"information,":[33,67],"this":[34,58],"creates":[35],"difficulties":[36],"for":[37,69],"detector":[38],"recognition.":[39,82],"Although":[40],"existing":[41],"research":[42],"improved":[44,169],"by":[47,141],"fusing":[48],"different":[49],"feature":[50,54,66,92,137,142,147,190],"layers":[51],"to":[52,61,108,116,126,130,159,174,179,201,221],"enhance":[53,117,160,202],"information":[55,112,155],"objects,":[57,122],"also":[59],"leads":[60],"problem":[63,139],"mixed":[65],"especially":[68],"where":[72],"features":[73,158],"are":[74],"easily":[75],"covered,":[76],"which":[77,96],"exacerbates":[78],"difficulty":[80],"To":[83,134],"solve":[84],"above":[86],"problems,":[87],"we":[88,123,144,166,185],"propose":[89,145],"contextual":[91,111],"enhancement":[93],"network":[94],"(CFENet),":[95],"is":[97],"an":[98,114],"efficient":[99],"framework":[100],"built":[101],"on":[102,213],"anchor-based":[103],"detectors.":[105],"In":[106,164],"CFENet,":[107],"effectively":[109,152],"utilize":[110,167],"around":[113],"use":[124],"poolFormer":[125],"build":[127],"backbone":[129],"extract":[131],"features.":[133,163],"alleviate":[135],"blending":[138],"caused":[140],"fusion,":[143],"suppression":[148],"module":[149],"(FSM)":[150],"that":[151],"suppresses":[153],"background":[154],"redundant":[157],"addition,":[165],"Gaussian":[170],"Wasserstein":[171],"distance":[172],"loss":[173,177],"modify":[175],"function":[178],"obtain":[180],"high-quality":[181],"bounding":[182],"boxes,":[183],"further":[186],"manipulate":[187],"shallow":[189],"layer":[191],"output":[194],"then":[196],"add":[197],"head":[200],"objects.":[207],"We":[208],"have":[209],"conducted":[210],"extensive":[211],"experiments":[212],"public":[215],"datasets":[216],"AI-TOD,":[217],"VisDrone,":[218],"DOTA":[220],"demonstrate":[222],"effectiveness":[224],"our":[226],"approach.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}