{"id":"https://openalex.org/W4322622394","doi":"https://doi.org/10.1587/transinf.2022edp7111","title":"DFAM-DETR: Deformable Feature Based Attention Mechanism DETR on Slender Object Detection","display_name":"DFAM-DETR: Deformable Feature Based Attention Mechanism DETR on Slender Object Detection","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W4322622394","doi":"https://doi.org/10.1587/transinf.2022edp7111"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022edp7111","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7111","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7111/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7111/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034468581","display_name":"Feng Wen","orcid":"https://orcid.org/0000-0001-7536-638X"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng WEN","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang Ligong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang Ligong University","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101966550","display_name":"Mei Wang","orcid":"https://orcid.org/0000-0002-6460-1919"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei WANG","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang Ligong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang Ligong University","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051526378","display_name":"Xiaojie Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie HU","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang Ligong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang Ligong University","institution_ids":["https://openalex.org/I116036724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116036724"],"apc_list":null,"apc_paid":null,"fwci":1.3827,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82960281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"E106.D","issue":"3","first_page":"401","last_page":"409"},"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":0.9959999918937683,"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":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8044087886810303},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7333994507789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5959987640380859},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5675036311149597},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5539318323135376},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.516193687915802},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43801575899124146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3925696909427643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06985598802566528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044087886810303},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7333994507789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5959987640380859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5675036311149597},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5539318323135376},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.516193687915802},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43801575899124146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3925696909427643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06985598802566528},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2022edp7111","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7111","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7111/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022edp7111","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7111","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2022EDP7111/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.49000000953674316,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G8435648989","display_name":null,"funder_award_id":"SYLUTD202105","funder_id":"https://openalex.org/F4320313852","funder_display_name":"Shenyang Ligong University"}],"funders":[{"id":"https://openalex.org/F4320313852","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322622394.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2407521645","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2601564443","https://openalex.org/W2618530766","https://openalex.org/W2811406147","https://openalex.org/W2894287712","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2964241181","https://openalex.org/W2972006294","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W3012573144","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3035102456","https://openalex.org/W3092462694","https://openalex.org/W3093534379","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3101798041","https://openalex.org/W3105021215","https://openalex.org/W3106250896","https://openalex.org/W3106753828","https://openalex.org/W3119689583","https://openalex.org/W3160907447","https://openalex.org/W4403627130"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2074467390","https://openalex.org/W4254303342","https://openalex.org/W4390618967","https://openalex.org/W2626393719","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Object":[0],"detection":[1,19,70,129],"is":[2],"one":[3],"of":[4,9,15,27,57],"the":[5,13,32,82,89,106],"most":[6],"important":[7],"aspects":[8],"computer":[10],"vision,":[11],"and":[12,46,72,97,137],"use":[14],"CNNs":[16,48,58],"for":[17,59],"object":[18,61,69,95],"has":[20],"yielded":[21],"substantial":[22],"results":[23,123],"in":[24,35,49],"a":[25],"variety":[26],"fields.":[28],"However,":[29],"due":[30],"to":[31,43,54,65,91,103,135],"fixed":[33,44],"sampling":[34,83],"standard":[36],"convolution":[37],"layers,":[38],"it":[39],"restricts":[40],"receptive":[41],"fields":[42],"locations":[45],"limits":[47],"geometric":[50],"transformations.":[51],"This":[52,112],"leads":[53],"poor":[55],"performance":[56,130],"slender":[60,68,94,115,132],"detection.":[62],"In":[63],"order":[64],"achieve":[66],"better":[67],"accuracy":[71],"efficiency,":[73],"this":[74],"proposed":[75],"detector":[76],"DFAM-DETR":[77,126],"not":[78],"only":[79],"can":[80],"adjust":[81],"points":[84],"adaptively,":[85],"but":[86],"also":[87],"enhance":[88],"ability":[90],"focus":[92],"on":[93,105,131],"features":[96],"extract":[98],"essential":[99],"information":[100],"from":[101,118],"global":[102],"local":[104],"image":[107],"through":[108],"an":[109],"attention":[110],"mechanism.":[111],"study":[113],"uses":[114],"objects":[116,133],"images":[117],"MS-COCO":[119],"dataset.":[120],"The":[121],"experimental":[122],"show":[124],"that":[125],"achieves":[127],"excellent":[128],"compared":[134],"CNN":[136],"transformer-based":[138],"detectors.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}