{"id":"https://openalex.org/W3160893423","doi":"https://doi.org/10.1109/icassp39728.2021.9414964","title":"Attention-Guided Second-Order Pooling Convolutional Networks","display_name":"Attention-Guided Second-Order Pooling Convolutional Networks","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160893423","doi":"https://doi.org/10.1109/icassp39728.2021.9414964","mag":"3160893423"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5001864590","display_name":"Shannan Chen","orcid":"https://orcid.org/0009-0001-0077-3172"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shannan Chen","raw_affiliation_strings":["Key Lab of Advanced Design and Intelligent Computing, Dalian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Advanced Design and Intelligent Computing, Dalian University, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032600929","display_name":"Qiule Sun","orcid":"https://orcid.org/0000-0002-9032-8186"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiule Sun","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062330119","display_name":"Cunhua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunhua Li","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413537","display_name":"Jianxin Zhang","orcid":"https://orcid.org/0000-0001-6076-5433"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Dalian Minzu University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Dalian Minzu University, China","institution_ids":["https://openalex.org/I145897649","https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China","Key Lab of Advanced Design and Intelligent Computing, Dalian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Key Lab of Advanced Design and Intelligent Computing, Dalian University, China","institution_ids":["https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36686505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2230","last_page":"2234"},"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":0.9994000196456909,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8819277286529541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645666003227234},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6460241675376892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5911448001861572},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5875669121742249},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.58256596326828},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5777496695518494},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5721665620803833},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5492033958435059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5103811621665955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4953290522098541},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4740730822086334},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46261173486709595},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.445766806602478},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.43250107765197754},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4256994426250458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3866836130619049},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3692384362220764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16642120480537415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10043579339981079}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8819277286529541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645666003227234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6460241675376892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5911448001861572},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5875669121742249},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.58256596326828},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5777496695518494},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5721665620803833},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5492033958435059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103811621665955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4953290522098541},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4740730822086334},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46261173486709595},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.445766806602478},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43250107765197754},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4256994426250458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3866836130619049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3692384362220764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16642120480537415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10043579339981079},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4300000071525574,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1524680991","https://openalex.org/W1836465849","https://openalex.org/W2105880865","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2295739661","https://openalex.org/W2532034655","https://openalex.org/W2604414494","https://openalex.org/W2731821979","https://openalex.org/W2752782242","https://openalex.org/W2883502031","https://openalex.org/W2884585870","https://openalex.org/W2949117887","https://openalex.org/W2949197413","https://openalex.org/W2952363938","https://openalex.org/W2962761264","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963843116","https://openalex.org/W2964091144","https://openalex.org/W2969572447","https://openalex.org/W2971035910","https://openalex.org/W2979854415","https://openalex.org/W2980347982","https://openalex.org/W2981413347","https://openalex.org/W2981899103","https://openalex.org/W3010400125","https://openalex.org/W3034421924","https://openalex.org/W3035300720","https://openalex.org/W3118608800","https://openalex.org/W3177242614","https://openalex.org/W4297810817","https://openalex.org/W6638667902","https://openalex.org/W6675992320","https://openalex.org/W6728881024","https://openalex.org/W6753038380","https://openalex.org/W6753412334","https://openalex.org/W6767471572","https://openalex.org/W6780075217","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2950524887","https://openalex.org/W2883502031","https://openalex.org/W2261271299","https://openalex.org/W4285020665","https://openalex.org/W2963066927","https://openalex.org/W4280638452","https://openalex.org/W3111811104","https://openalex.org/W4380083739","https://openalex.org/W2964944724","https://openalex.org/W3160506688"],"abstract_inverted_index":{"Recently,":[0],"channel":[1],"attention-guided":[2,49],"convolutional":[3,52],"networks":[4],"(ConvNets)":[5],"have":[6],"shown":[7],"great":[8],"advance":[9],"on":[10,28,111],"visual":[11],"recognition":[12],"tasks.":[13],"However,":[14],"they":[15],"mainly":[16],"exploit":[17],"coarse":[18],"first-order":[19],"statistics":[20,88],"to":[21,64,95],"characterize":[22],"holistic":[23],"image":[24],"and":[25,89,105,122],"rarely":[26],"focus":[27],"long-range":[29,72],"feature":[30,62],"dependencies,":[31],"which":[32],"limits":[33],"the":[34,86,97],"representation":[35,99],"power":[36],"in":[37,82],"a":[38,47,79],"certain.":[39],"To":[40],"handle":[41],"above":[42],"limitations,":[43],"this":[44],"paper":[45],"proposes":[46],"novel":[48],"second-order":[50,66,87],"pooling":[51,58],"network":[53],"(ASP-Net).":[54],"ASP-Net":[55,118],"introduces":[56],"bilinear":[57],"that":[59,117],"captures":[60],"pairwise":[61],"interactions":[63],"model":[65],"statistics.":[67],"Meanwhile,":[68],"it":[69],"explicitly":[70],"collects":[71],"dependencies":[73],"via":[74],"non-local":[75,90],"operations,":[76],"thus":[77],"providing":[78],"global":[80],"view":[81],"lower":[83],"layers.":[84],"Then,":[85],"context":[91],"features":[92],"are":[93],"fused":[94],"obtain":[96],"enhanced":[98],"for":[100],"predicting":[101],"channel-wise":[102],"attention":[103],"map":[104],"scaling":[106],"convolution":[107],"features.":[108],"Experiment":[109],"results":[110],"three":[112],"commonly":[113],"used":[114],"datasets":[115],"illuminate":[116],"outperforms":[119],"its":[120],"counterparts":[121],"achieves":[123],"competitive":[124],"performance.":[125],"The":[126],"source":[127],"code":[128],"is":[129],"available":[130],"at":[131],"https://github.com/ShannanChen/ASPNet.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}