{"id":"https://openalex.org/W3176091149","doi":"https://doi.org/10.1145/3453800.3453815","title":"Mix-groups Attention Network for Object Detection","display_name":"Mix-groups Attention Network for Object Detection","publication_year":2021,"publication_date":"2021-01-29","ids":{"openalex":"https://openalex.org/W3176091149","doi":"https://doi.org/10.1145/3453800.3453815","mag":"3176091149"},"language":"en","primary_location":{"id":"doi:10.1145/3453800.3453815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453800.3453815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-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/A5006591577","display_name":"Yuqiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqiang He","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083320321","display_name":"Yinfeng Xia","orcid":"https://orcid.org/0000-0001-9457-2656"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfeng Xia","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697276","display_name":"Yizhen Wang","orcid":"https://orcid.org/0000-0002-3183-6738"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhen Wang","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702382","display_name":"Baoqun Yin","orcid":"https://orcid.org/0000-0002-5225-4729"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqun Yin","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07201367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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":0.9944000244140625,"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":0.7928669452667236},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7332556247711182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7035830616950989},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6264161467552185},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5981714725494385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5861853361129761},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.580531120300293},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5730436444282532},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5457493662834167},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5307987332344055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46966493129730225},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4669778048992157},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45387616753578186},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4484696686267853},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43570151925086975},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42743220925331116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37363386154174805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3694392442703247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20978033542633057},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07043904066085815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928669452667236},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7332556247711182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7035830616950989},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6264161467552185},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5981714725494385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5861853361129761},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.580531120300293},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5730436444282532},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5457493662834167},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5307987332344055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46966493129730225},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4669778048992157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45387616753578186},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4484696686267853},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43570151925086975},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42743220925331116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37363386154174805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3694392442703247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20978033542633057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07043904066085815},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1145/3453800.3453815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453800.3453815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 5th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1676314349","https://openalex.org/W2097117768","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2963786238","https://openalex.org/W4240153047","https://openalex.org/W6604103938","https://openalex.org/W6604218873","https://openalex.org/W6610122945","https://openalex.org/W6816249831"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2106002764","https://openalex.org/W1579998189","https://openalex.org/W2172615727"],"abstract_inverted_index":{"With":[0],"the":[1,13,21,138],"development":[2],"of":[3,23,41,59,133],"deep":[4],"learning,":[5],"object":[6,24],"detection":[7,38],"has":[8,141],"made":[9],"great":[10],"progress":[11],"in":[12,109],"past":[14],"few":[15],"years,":[16],"and":[17,26,111,125],"it":[18,93],"mainly":[19],"involves":[20],"combination":[22],"classification":[25],"localization":[27],"within":[28],"a":[29,49,64,74],"scene.":[30],"Effective":[31],"convolution":[32],"features":[33,47,108],"are":[34],"critical":[35],"to":[36,53,69,89,99,106],"improve":[37],"for":[39],"objects":[40],"different":[42],"scales,":[43],"but":[44],"learning":[45],"powerful":[46],"remains":[48],"challenging":[50],"task":[51],"due":[52],"scale":[54],"variations,":[55],"occlusion.":[56],"In":[57],"view":[58],"this":[60],"fact,":[61],"we":[62],"introduce":[63],"lightweight":[65],"Mix-groups":[66,101],"attention":[67,77,98,102],"network":[68],"solve":[70],"these":[71],"problems.":[72],"Firstly,":[73],"novel":[75],"group":[76],"module":[78,140],"is":[79,94],"proposed,":[80],"which":[81],"can":[82,117],"learn":[83],"more":[84],"effective":[85],"part-level":[86],"information.":[87],"Furthermore,":[88],"enrich":[90],"multi-scale":[91,128],"representations,":[92],"combined":[95],"with":[96],"channel":[97,112],"generate":[100],"module,":[103],"assigning":[104],"weights":[105],"image":[107],"spatial":[110],"dimensions.":[113],"The":[114],"new":[115],"approach":[116],"better":[118],"highlight":[119],"key":[120],"objects,":[121],"eliminate":[122],"background":[123],"clutter,":[124],"directly":[126],"support":[127],"feature":[129],"learning.":[130],"A":[131],"number":[132],"experimental":[134],"results":[135],"show":[136],"that":[137],"proposed":[139],"achieved":[142],"excellent":[143],"improvement.":[144]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}