{"id":"https://openalex.org/W7133644011","doi":"https://doi.org/10.1016/j.dsp.2026.106037","title":"AESOD: Towards accurate and efficient general-purpose small object detection","display_name":"AESOD: Towards accurate and efficient general-purpose small object detection","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7133644011","doi":"https://doi.org/10.1016/j.dsp.2026.106037"},"language":"en","primary_location":{"id":"doi:10.1016/j.dsp.2026.106037","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.dsp.2026.106037","pdf_url":null,"source":{"id":"https://openalex.org/S64117906","display_name":"Digital Signal Processing","issn_l":"1051-2004","issn":["1051-2004","1095-4333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Signal Processing","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":null,"display_name":"Jiayu Peng","orcid":"https://orcid.org/0009-0005-7466-6715"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Peng","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi, 830091, China"],"raw_orcid":"https://orcid.org/0009-0005-7466-6715","affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi, 830091, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128171790","display_name":"Kai Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Lv","raw_affiliation_strings":["School of Mechanical Engineering, Xinjiang University, Urumqi, 830017, China"],"raw_orcid":"https://orcid.org/0000-0003-1698-7236","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, 830017, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128137657","display_name":"Dexian Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111575","display_name":"Xinjiang Institute of Engineering","ror":"https://ror.org/01s5hh873","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111575","https://openalex.org/I4210157944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexian Lin","raw_affiliation_strings":["China Coal Technology & Engineering Group Xinjiang Research Institute Co., Ltd., Urumqi, 830022, China"],"raw_orcid":"https://orcid.org/0009-0002-7146-5342","affiliations":[{"raw_affiliation_string":"China Coal Technology & Engineering Group Xinjiang Research Institute Co., Ltd., Urumqi, 830022, China","institution_ids":["https://openalex.org/I4210111575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang Yuan","orcid":"https://orcid.org/0000-0002-7068-8766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Yuan","raw_affiliation_strings":["School of ICCI, Shanghai Jiao Tong University, Shanghai, 200240, China","School of Mechanical Engineering, Xinjiang University, Urumqi, 830017, China"],"raw_orcid":"https://orcid.org/0000-0002-7068-8766","affiliations":[{"raw_affiliation_string":"School of ICCI, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, 830017, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5128171790"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I96908189"],"apc_list":{"value":2480,"currency":"USD","value_usd":2480},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44052284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"176","issue":null,"first_page":"106037","last_page":"106037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9672999978065491,"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":0.9672999978065491,"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":0.004600000102072954,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.0017000000225380063,"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/object-detection","display_name":"Object detection","score":0.7753000259399414},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6326000094413757},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5690000057220459},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5562999844551086},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.555400013923645},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5289000272750854},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5259000062942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5123000144958496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925000190734863},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7753000259399414},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6326000094413757},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5690000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644999742507935},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5562999844551086},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46230000257492065},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4187000095844269},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.3926999866962433},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.31220000982284546},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.2921000123023987},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.dsp.2026.106037","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.dsp.2026.106037","pdf_url":null,"source":{"id":"https://openalex.org/S64117906","display_name":"Digital Signal Processing","issn_l":"1051-2004","issn":["1051-2004","1095-4333"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W3205100603","https://openalex.org/W4214841728","https://openalex.org/W4313561323","https://openalex.org/W4319226720","https://openalex.org/W4320002812","https://openalex.org/W4362588525","https://openalex.org/W4382568144","https://openalex.org/W4385760871","https://openalex.org/W4386838484","https://openalex.org/W4388517067","https://openalex.org/W4392120658","https://openalex.org/W4395958874","https://openalex.org/W4396750492","https://openalex.org/W4401541346","https://openalex.org/W4406235068","https://openalex.org/W4406598229","https://openalex.org/W4415395285"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2026-03-06T00:00:00"}