{"id":"https://openalex.org/W4312384024","doi":"https://doi.org/10.1109/lgrs.2022.3220661","title":"Find Small Objects in UAV Images by Feature Mining and Attention","display_name":"Find Small Objects in UAV Images by Feature Mining and Attention","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312384024","doi":"https://doi.org/10.1109/lgrs.2022.3220661"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3220661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3220661","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100442739","display_name":"Xiaolei Liu","orcid":"https://orcid.org/0000-0001-8510-4025"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolei Liu","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004032587","display_name":"Chengcai Leng","orcid":"https://orcid.org/0000-0003-4535-5430"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcai Leng","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4535-5430","affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063617623","display_name":"Xiaoming Niu","orcid":"https://orcid.org/0000-0001-7196-3822"},"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":"Xiaoming Niu","raw_affiliation_strings":["College of Mathematics and Statistics, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016597133","display_name":"Zhao Pei","orcid":"https://orcid.org/0000-0003-4482-571X"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Pei","raw_affiliation_strings":["School of Computer Science, Shaanxi Normal University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi’an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058927498","display_name":"Irene Cheng","orcid":"https://orcid.org/0000-0001-9699-4895"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Irene Cheng","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada","Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9699-4895","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054810403","display_name":"Anup Basu","orcid":"https://orcid.org/0000-0002-7695-4148"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anup Basu","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Canada","Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7695-4148","affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5661,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84458676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.8601272106170654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6336792707443237},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6262992024421692},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6111129522323608},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6105684041976929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6057862639427185},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5846452116966248},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5684490203857422},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.5439547896385193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5235868692398071},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4466620683670044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41052016615867615},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.35623621940612793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3503575921058655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32149580121040344},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08941701054573059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8601272106170654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6336792707443237},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6262992024421692},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6111129522323608},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6105684041976929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6057862639427185},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5846452116966248},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5684490203857422},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.5439547896385193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5235868692398071},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4466620683670044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41052016615867615},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.35623621940612793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3503575921058655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32149580121040344},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08941701054573059},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/lgrs.2022.3220661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3220661","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1681440638","display_name":null,"funder_award_id":"61702251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4646546114","display_name":null,"funder_award_id":"2018JM6030","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2109255472","https://openalex.org/W2295107390","https://openalex.org/W2412782625","https://openalex.org/W2565639579","https://openalex.org/W2579152745","https://openalex.org/W2768489488","https://openalex.org/W2798799804","https://openalex.org/W2884585870","https://openalex.org/W2963381188","https://openalex.org/W2963840672","https://openalex.org/W2963857746","https://openalex.org/W2982770724","https://openalex.org/W2988452521","https://openalex.org/W2997408160","https://openalex.org/W3018757597","https://openalex.org/W3106250896","https://openalex.org/W3137746351","https://openalex.org/W3172087149","https://openalex.org/W3184439416","https://openalex.org/W4214847365","https://openalex.org/W4293584584","https://openalex.org/W6696085341","https://openalex.org/W6750227808","https://openalex.org/W6750759024","https://openalex.org/W6751325469","https://openalex.org/W6753412334","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W2004370856","https://openalex.org/W3127217315","https://openalex.org/W2739874619","https://openalex.org/W2613186388","https://openalex.org/W2187221949","https://openalex.org/W2039154422","https://openalex.org/W3172041118","https://openalex.org/W2546942002","https://openalex.org/W1721780360","https://openalex.org/W2090093270"],"abstract_inverted_index":{"With":[0],"the":[1,9,59,79,147],"increasing":[2],"popularity":[3],"of":[4,11,81,124],"Unmanned":[5],"Aerial":[6],"Vehicles":[7],"(UAVs),":[8],"accuracy":[10],"detecting":[12],"small":[13,25,57,100],"objects":[14,101],"in":[15],"large-view":[16],"images":[17],"is":[18,28,63,92,198],"also":[19],"expected":[20],"to":[21,50,64,76,85,93,98,154,171],"increase.":[22],"However,":[23],"accurate":[24],"object":[26],"detection":[27],"still":[29],"a":[30,106,158,165],"challenging":[31],"problem.":[32,53],"Currently,":[33],"Image":[34],"Pyramid":[35,38],"Network,":[36],"Feature":[37],"Network":[39],"(FPN),":[40],"rich":[41],"training":[42],"strategies":[43],"and":[44,116,131,142,152,179],"data":[45],"augmentation":[46],"are":[47],"widely":[48],"used":[49],"address":[51],"this":[52,196],"To":[54],"accurately":[55],"detect":[56],"objects,":[58],"most":[60],"important":[61,174],"thing":[62],"mine":[65],"for":[66,176,195],"more":[67,87],"feature":[68,88],"information.":[69,89],"We":[70,109],"propose":[71,117],"Widened":[72],"Residual":[73],"Block":[74],"(WRB)":[75],"break":[77],"through":[78],"bottleneck":[80],"residual":[82],"information":[83],"gain":[84],"extract":[86],"The":[90,192],"second":[91],"emphasize":[94],"or":[95],"suppress":[96],"features":[97,145],"prevent":[99],"from":[102,146,157],"being":[103],"overwhelmed":[104],"by":[105],"broad":[107],"background.":[108,160],"introduce":[110],"an":[111],"attention":[112,138,149],"mechanism":[113],"into":[114],"PANet":[115,120],"Enhanced":[118],"Attention":[119,128,132,168],"(EA-PANet),":[121],"which":[122],"consists":[123],"two":[125],"parts:":[126],"Context":[127],"Module":[129,134],"(COAM)":[130],"Enhancement":[133],"(AEM).":[135],"COAM":[136,153],"outputs":[137],"heatmaps":[139],"with":[140],"context,":[141],"AEM":[143],"fuses":[144],"channel":[148],"module":[150],"(CAM)":[151],"avoid":[155],"distraction":[156],"vast":[159],"In":[161],"addition,":[162],"we":[163],"design":[164],"lightweight":[166],"Decoupled":[167],"Head":[169],"(DA-head)":[170],"dynamically":[172],"compute":[173],"regions":[175],"specific":[177],"tasks":[178],"achieve":[180],"reliable":[181],"predictions.":[182],"Experiments":[183],"show":[184],"that":[185],"our":[186],"method":[187],"outperforms":[188],"state-of-the-art":[189],"(SOTA)":[190],"detectors.":[191],"source":[193],"code":[194],"work":[197],"available":[199],"at":[200],"https://github.com/liuxiaolei111/FindSmallObjects.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}