{"id":"https://openalex.org/W4385452935","doi":"https://doi.org/10.1109/tpami.2023.3300513","title":"Lightweight Pixel Difference Networks for Efficient Visual Representation Learning","display_name":"Lightweight Pixel Difference Networks for Efficient Visual Representation Learning","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385452935","doi":"https://doi.org/10.1109/tpami.2023.3300513","pmid":"https://pubmed.ncbi.nlm.nih.gov/37527290"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3300513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3300513","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.00422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010794708","display_name":"Zhuo Su","orcid":"https://orcid.org/0000-0002-6448-0651"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["CN","FI"],"is_corresponding":true,"raw_author_name":"Zhuo Su","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China","Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747424","display_name":"Jiehua Zhang","orcid":"https://orcid.org/0000-0003-4342-0139"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jiehua Zhang","raw_affiliation_strings":["Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058116832","display_name":"Longguang Wang","orcid":"https://orcid.org/0000-0003-0429-0263"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longguang Wang","raw_affiliation_strings":["Aviation University of Air Force, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Aviation University of Air Force, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408716","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-7627-4142"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080018418","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-1233-1494"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["College of Electronic Science and Technology, Nation University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, Nation University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014611768","display_name":"Matti Pietik\u00e4inen","orcid":"https://orcid.org/0000-0003-2263-6731"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Matti Pietik\u00e4inen","raw_affiliation_strings":["Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["College of Electronic Science and Technology, Nation University of Defense Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, Nation University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010794708"],"corresponding_institution_ids":["https://openalex.org/I205237279","https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":5.1252,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.96729783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"45","issue":"12","first_page":"14956","last_page":"14974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9988999962806702,"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":0.8183369636535645},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6110161542892456},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.607985258102417},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5851592421531677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845468044281006},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5553082823753357},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5453916192054749},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5301229357719421},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5148710012435913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5062190890312195},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.478633314371109},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.466964989900589},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46648433804512024},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4439208209514618},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3785961866378784},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36165952682495117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.092430979013443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8183369636535645},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6110161542892456},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.607985258102417},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5851592421531677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845468044281006},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5553082823753357},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5453916192054749},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5301229357719421},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5148710012435913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5062190890312195},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.478633314371109},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.466964989900589},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46648433804512024},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4439208209514618},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3785961866378784},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36165952682495117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.092430979013443},{"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/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2023.3300513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3300513","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37527290","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37527290","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2402.00422","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.00422","pdf_url":"https://arxiv.org/pdf/2402.00422","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.00422","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.00422","pdf_url":"https://arxiv.org/pdf/2402.00422","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1761424634","display_name":null,"funder_award_id":"61872379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2443591357","display_name":"LESLearn: Label, Energy and Sample Efficient Feature Representation and Learning in Computer Vision","funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4302849700","display_name":null,"funder_award_id":"2021YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5616526104","display_name":null,"funder_award_id":"2021YFB3100800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6515052314","display_name":null,"funder_award_id":"2021YFB3100800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7713788294","display_name":null,"funder_award_id":"62022091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7774348999","display_name":null,"funder_award_id":"62376283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8008312880","display_name":null,"funder_award_id":"331883","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385452935.pdf","grobid_xml":"https://content.openalex.org/works/W4385452935.grobid-xml"},"referenced_works_count":183,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1522301498","https://openalex.org/W1539790486","https://openalex.org/W1545641654","https://openalex.org/W1565402342","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1910619957","https://openalex.org/W1929880813","https://openalex.org/W1930528368","https://openalex.org/W1975959625","https://openalex.org/W1976047850","https://openalex.org/W2010181071","https://openalex.org/W2019464758","https://openalex.org/W2067912884","https://openalex.org/W2083866943","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2103496373","https://openalex.org/W2108598243","https://openalex.org/W2110158442","https://openalex.org/W2114563034","https://openalex.org/W2117539524","https://openalex.org/W2119823327","https://openalex.org/W2121947440","https://openalex.org/W2125215748","https://openalex.org/W2145023731","https://openalex.org/W2152259846","https://openalex.org/W2161567010","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2165140157","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2242818861","https://openalex.org/W2266390837","https://openalex.org/W2289871033","https://openalex.org/W2293457052","https://openalex.org/W2300242332","https://openalex.org/W2300687442","https://openalex.org/W2302255633","https://openalex.org/W2341528187","https://openalex.org/W2469490737","https://openalex.org/W2483076098","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2560622558","https://openalex.org/W2607333215","https://openalex.org/W2610691757","https://openalex.org/W2618530766","https://openalex.org/W2740400853","https://openalex.org/W2752828042","https://openalex.org/W2753301142","https://openalex.org/W2753619605","https://openalex.org/W2883254424","https://openalex.org/W2885311373","https://openalex.org/W2895238724","https://openalex.org/W2948194985","https://openalex.org/W2953881420","https://openalex.org/W2955425717","https://openalex.org/W2957777252","https://openalex.org/W2962803021","https://openalex.org/W2963000224","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963466847","https://openalex.org/W2963480671","https://openalex.org/W2963551763","https://openalex.org/W2964081807","https://openalex.org/W2964233199","https://openalex.org/W2966926453","https://openalex.org/W2970691381","https://openalex.org/W2972343638","https://openalex.org/W2975350394","https://openalex.org/W2976833605","https://openalex.org/W2982242214","https://openalex.org/W2982344224","https://openalex.org/W2984618279","https://openalex.org/W2988916019","https://openalex.org/W2991040477","https://openalex.org/W2998419362","https://openalex.org/W3009158303","https://openalex.org/W3023292565","https://openalex.org/W3034297393","https://openalex.org/W3034368386","https://openalex.org/W3034818206","https://openalex.org/W3035414587","https://openalex.org/W3035459165","https://openalex.org/W3081152303","https://openalex.org/W3088524643","https://openalex.org/W3090853421","https://openalex.org/W3091991030","https://openalex.org/W3093425017","https://openalex.org/W3094502228","https://openalex.org/W3094861582","https://openalex.org/W3099211682","https://openalex.org/W3101998545","https://openalex.org/W3104151879","https://openalex.org/W3106579642","https://openalex.org/W3107401339","https://openalex.org/W3107407793","https://openalex.org/W3108720720","https://openalex.org/W3118608800","https://openalex.org/W3122010520","https://openalex.org/W3132455321","https://openalex.org/W3137147200","https://openalex.org/W3138154797","https://openalex.org/W3166603227","https://openalex.org/W3170161070","https://openalex.org/W3170874841","https://openalex.org/W3170898657","https://openalex.org/W3188354902","https://openalex.org/W3193915232","https://openalex.org/W3202230044","https://openalex.org/W3207598347","https://openalex.org/W3211531130","https://openalex.org/W3211787299","https://openalex.org/W3213568228","https://openalex.org/W3215100117","https://openalex.org/W4200633575","https://openalex.org/W4214774769","https://openalex.org/W4214888034","https://openalex.org/W4283791819","https://openalex.org/W4284890879","https://openalex.org/W4286910290","https://openalex.org/W4287824105","https://openalex.org/W4288404646","https://openalex.org/W4295262505","https://openalex.org/W4295312788","https://openalex.org/W4297775537","https://openalex.org/W4312690709","https://openalex.org/W4312742569","https://openalex.org/W4312858184","https://openalex.org/W4313187582","https://openalex.org/W6630649318","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638046521","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639799379","https://openalex.org/W6684414868","https://openalex.org/W6690026940","https://openalex.org/W6693397755","https://openalex.org/W6696310042","https://openalex.org/W6698183232","https://openalex.org/W6698200048","https://openalex.org/W6720242923","https://openalex.org/W6725543821","https://openalex.org/W6737664043","https://openalex.org/W6744072679","https://openalex.org/W6744497706","https://openalex.org/W6744700018","https://openalex.org/W6753278433","https://openalex.org/W6756718674","https://openalex.org/W6757555829","https://openalex.org/W6762718338","https://openalex.org/W6763087592","https://openalex.org/W6766978945","https://openalex.org/W6768287286","https://openalex.org/W6768409960","https://openalex.org/W6772326514","https://openalex.org/W6772750526","https://openalex.org/W6777235395","https://openalex.org/W6783467810","https://openalex.org/W6784333009","https://openalex.org/W6784499899","https://openalex.org/W6784744137","https://openalex.org/W6787972765","https://openalex.org/W6788135285","https://openalex.org/W6791636759","https://openalex.org/W6791940793","https://openalex.org/W6797854001","https://openalex.org/W6802648153","https://openalex.org/W6803936457","https://openalex.org/W6838911480","https://openalex.org/W6848451871","https://openalex.org/W7036952098"],"related_works":["https://openalex.org/W4387838477","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W3107426390","https://openalex.org/W1534368937","https://openalex.org/W4312624109","https://openalex.org/W3175683656","https://openalex.org/W2892553522"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"have":[2],"been":[3],"tremendous":[4],"efforts":[5],"in":[6,24,37],"developing":[7,31],"lightweight":[8,98],"Deep":[9],"Neural":[10],"Networks":[11,104],"(DNNs)":[12],"with":[13,87,174],"satisfactory":[14],"accuracy,":[15],"which":[16,70],"can":[17,157,163],"enable":[18],"the":[19,41,72,144,153,165,187],"ubiquitous":[20],"deployment":[21],"of":[22,30,44,59,195],"DNNs":[23,35],"edge":[25,123,149],"devices.":[26],"The":[27],"core":[28],"challenge":[29],"compact":[32],"and":[33,48,66,82,92,106,125,141,162,173,190],"efficient":[34,114],"lies":[36],"how":[38],"to":[39,84,111],"balance":[40],"competing":[42],"goals":[43],"achieving":[45],"high":[46,49],"accuracy":[47,189],"efficiency.":[50],"In":[51],"this":[52],"paper":[53],"we":[54,94],"propose":[55],"two":[56,97],"novel":[57],"types":[58],"convolutions,":[60],"dubbed":[61],"Pixel":[62,102],"Difference":[63,103],"Convolution":[64],"(PDC)":[65],"Binary":[67,107,183],"PDC":[68,91],"(Bi-PDC)":[69],"enjoy":[71],"following":[73],"benefits:":[74],"capturing":[75],"higher-order":[76],"local":[77],"differential":[78],"information,":[79],"computationally":[80],"efficient,":[81],"able":[83],"be":[85,158],"integrated":[86],"existing":[88,182],"DNNs.":[89],"With":[90],"Bi-PDC,":[93],"further":[95],"present":[96],"deep":[99],"networks":[100],"named":[101],"(PiDiNet)":[105],"PiDiNet":[108,140,151],"(Bi-PiDiNet)":[109],"respectively":[110],"learn":[112],"highly":[113],"yet":[115],"more":[116],"accurate":[117],"representations":[118],"for":[119],"visual":[120],"tasks":[121],"including":[122],"detection":[124],"object":[126,179],"recognition.":[127],"Extensive":[128],"experiments":[129],"on":[130,168,198],"popular":[131],"datasets":[132],"(BSDS500,":[133],"ImageNet,":[134,161],"LFW,":[135],"YTF,":[136],"etc.)":[137],"show":[138],"that":[139,156],"Bi-PiDiNet":[142,185],"achieve":[143,164],"best":[145,188],"accuracy-efficiency":[146],"trade-off.":[147],"For":[148,178],"detection,":[150],"is":[152],"first":[154],"network":[155],"trained":[159],"without":[160],"human-level":[166],"performance":[167],"BSDS500":[169],"at":[170],"100":[171],"FPS":[172],"1":[175],"M":[176],"parameters.":[177],"recognition,":[180],"among":[181],"DNNs,":[184],"achieves":[186],"a":[191],"nearly":[192],"2\u00d7":[193],"reduction":[194],"computational":[196],"cost":[197],"ResNet18.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
