{"id":"https://openalex.org/W4392902871","doi":"https://doi.org/10.1109/icassp48485.2024.10448037","title":"CAG-FPN: Channel Self-Attention Guided Feature Pyramid Network for Object Detection","display_name":"CAG-FPN: Channel Self-Attention Guided Feature Pyramid Network for Object Detection","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902871","doi":"https://doi.org/10.1109/icassp48485.2024.10448037"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103835960","display_name":"Jie Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chang","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046916582","display_name":"Huhe Dai","orcid":"https://orcid.org/0009-0001-6156-0445"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huhe Dai","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044357289","display_name":"Yuan Zheng","orcid":"https://orcid.org/0000-0002-8630-1917"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zheng","raw_affiliation_strings":["Inner Mongolia University,Huhhot,China","Inner Mongolia University, Huhhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,Huhhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9616","last_page":"9620"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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":0.7715879678726196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7686922550201416},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6491397619247437},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6004611253738403},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5948576927185059},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5770282745361328},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5369375348091125},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5304944515228271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4497409760951996},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42242133617401123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34397614002227783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3366529941558838},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08844712376594543},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08828660845756531},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08751532435417175}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7715879678726196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686922550201416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6491397619247437},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6004611253738403},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5948576927185059},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5770282745361328},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5369375348091125},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5304944515228271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4497409760951996},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42242133617401123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34397614002227783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366529941558838},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08844712376594543},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08828660845756531},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08751532435417175},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2982770724","https://openalex.org/W3028147364","https://openalex.org/W3034307881","https://openalex.org/W3138958001","https://openalex.org/W3162418282","https://openalex.org/W3176839087","https://openalex.org/W3177052299","https://openalex.org/W4205334590","https://openalex.org/W4214666412","https://openalex.org/W4288325606","https://openalex.org/W4289752563","https://openalex.org/W4297810817","https://openalex.org/W4322747009","https://openalex.org/W4391307079","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W4249847449","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W44395729","https://openalex.org/W2080152487","https://openalex.org/W3083152911"],"abstract_inverted_index":{"Feature":[0,59],"Pyramid":[1,60],"Network":[2,61],"(FPN)":[3],"plays":[4],"a":[5,38,54,67],"critical":[6],"role":[7],"and":[8,124,136],"is":[9,89,143],"indispensable":[10],"for":[11,91],"object":[12,92],"detection":[13,74],"methods.":[14],"In":[15,48],"recent":[16],"years,":[17],"attention":[18],"mechanism":[19],"has":[20,66],"been":[21],"utilized":[22],"to":[23,27,82],"improve":[24],"FPN":[25,33],"due":[26],"its":[28],"excellent":[29],"performance.":[30],"Existing":[31],"attention-based":[32],"methods":[34],"generally":[35],"work":[36],"with":[37],"complex":[39],"structure,":[40],"resulting":[41],"in":[42],"an":[43,101],"increase":[44],"of":[45,50,104,108,139],"computational":[46],"costs.":[47],"view":[49],"this,":[51],"we":[52],"propose":[53],"novel":[55],"Channel":[56],"Self-Attention":[57],"Guided":[58],"(CAG-FPN),":[62],"which":[63],"not":[64],"only":[65],"simple":[68],"structure":[69],"but":[70],"also":[71],"consistently":[72],"improves":[73],"accuracy.":[75],"We":[76],"observe":[77],"that":[78],"introducing":[79],"channel":[80],"self-attention":[81],"the":[83,86,105,111,134],"features":[84],"at":[85,145],"highest":[87],"level":[88],"helpful":[90],"detection,":[93],"since":[94],"modeling":[95],"long-range":[96],"dependencies":[97],"between":[98],"channels":[99],"triggers":[100],"implicit":[102],"clustering":[103],"same":[106],"categories":[107],"objects,":[109],"enhancing":[110],"semantic":[112],"continuity.":[113],"Moreover,":[114],"our":[115,140],"CAG-FPN":[116],"can":[117],"be":[118],"readily":[119],"plugged":[120],"into":[121],"both":[122],"one-stage":[123],"two-stage":[125],"FPN-based":[126],"detectors.":[127],"Experiments":[128],"on":[129],"MS":[130],"COCO":[131],"dataset":[132],"verify":[133],"superiority":[135],"generalization":[137],"ability":[138],"CAG-FPN.":[141],"Code":[142],"available":[144],"https://github.com/ZY-IMU-CV/CAGFPN_CJ_2023.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}