{"id":"https://openalex.org/W4316143384","doi":"https://doi.org/10.1145/3574131.3574458","title":"WLA-Net: A Whole New Light-weight Architecture For Visual Task","display_name":"WLA-Net: A Whole New Light-weight Architecture For Visual Task","publication_year":2022,"publication_date":"2022-12-27","ids":{"openalex":"https://openalex.org/W4316143384","doi":"https://doi.org/10.1145/3574131.3574458"},"language":"en","primary_location":{"id":"doi:10.1145/3574131.3574458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3574131.3574458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","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/A5043159163","display_name":"Liuhao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liuhao Yu","raw_affiliation_strings":["the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China"],"raw_orcid":"https://orcid.org/0000-0003-3338-8833","affiliations":[{"raw_affiliation_string":"the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031416655","display_name":"Danyang Yao","orcid":"https://orcid.org/0000-0002-7337-2898"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Yao","raw_affiliation_strings":["the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-7337-2898","affiliations":[{"raw_affiliation_string":"the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073389511","display_name":"Meie Fang","orcid":"https://orcid.org/0000-0003-4292-8889"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meie Fang","raw_affiliation_strings":["the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China"],"raw_orcid":"https://orcid.org/0000-0003-4292-8889","affiliations":[{"raw_affiliation_string":"the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 511400, China, Guangzhou University, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016081925","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0003-3871-663X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3871-663X","affiliations":[{"raw_affiliation_string":"the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043159163"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14463444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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":0.7978255748748779},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.771237850189209},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7197823524475098},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7133514881134033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6789296865463257},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6687439680099487},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6564993858337402},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5699688196182251},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5613839030265808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.509591817855835},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5093847513198853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.50691157579422},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4981706142425537},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.46297046542167664},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4464518129825592},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4364428222179413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36907386779785156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3689464330673218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2297568917274475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11715233325958252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.071461021900177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978255748748779},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.771237850189209},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7197823524475098},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7133514881134033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789296865463257},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6687439680099487},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6564993858337402},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5699688196182251},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5613839030265808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.509591817855835},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5093847513198853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.50691157579422},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4981706142425537},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.46297046542167664},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4464518129825592},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4364428222179413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36907386779785156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3689464330673218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2297568917274475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11715233325958252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.071461021900177},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3574131.3574458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3574131.3574458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-156865","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-156865","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2613019972","https://openalex.org/W2618530766","https://openalex.org/W2622826443","https://openalex.org/W2962858109","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2982083293","https://openalex.org/W3102564565","https://openalex.org/W3118432192","https://openalex.org/W3121523901","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3171229070","https://openalex.org/W3183430956","https://openalex.org/W3216717225"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4315697128","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2995343971","https://openalex.org/W2982536526","https://openalex.org/W2992221004"],"abstract_inverted_index":{"In":[0,90],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"WLA-Net,":[5],"a":[6,22,79,135],"whole":[7],"new":[8,93,136],"convolutional":[9],"networks":[10],"that":[11,25,68,81,172],"have":[12],"smaller":[13],"parameters":[14,45],"and":[15,30,55,75],"FLOPs":[16],"model.":[17],"WLA-Net":[18],"are":[19],"based":[20],"on":[21,163],"cross":[23],"architecture":[24],"uses":[26],"mechanism":[27],"of":[28,46,121,158],"attention":[29,84],"Residual":[31],"block":[32],"to":[33,85,109,127,141,148],"build":[34],"light":[35],"deep":[36],"neural":[37],"networks.":[38],"While":[39],"improving":[40,56],"the":[41,44,51,66,102,119,122,125,132,143,159,164,173],"classification":[42,72,88,156],"accuracy,":[43],"model":[47,52,160],"is":[48,63,95,139,161],"reduced,":[49],"make":[50,149],"more":[53,111,151],"lightweight":[54,60],"resource":[57],"utilization.":[58],"A":[59],"convolution":[61],"module":[62,80],"designed":[64,140],"in":[65,101,124],"network":[67],"can":[69,116],"perform":[70],"image":[71,87,126,155],"tasks":[73],"accurately":[74],"efficiently":[76],"while":[77],"introducing":[78],"large":[82,165],"Convolution":[83],"improve":[86],"accuracy.":[89,130],"addition,":[91],"an":[92],"AttentionModule":[94],"proposed,":[96],"which":[97],"mines":[98],"information":[99,144],"aggregations":[100],"channel":[103],"direction":[104],"as":[105,107],"much":[106],"possible":[108],"extract":[110],"efficient":[112],"depth":[113],"features.":[114],"It":[115],"effectively":[117],"fuse":[118,142],"features":[120],"channels":[123,147],"obtain":[128],"higher":[129],"At":[131],"same":[133],"time,":[134],"residual":[137],"structure":[138],"between":[145],"feature":[146],"it":[150],"closely":[152],"related.":[153],"The":[154],"accuracy":[157],"verified":[162],"natural":[166],"images":[167],"datasets.":[168],"Experimental":[169],"results":[170],"show":[171],"proposed":[174],"method":[175],"has":[176],"SOTA":[177],"performance.":[178]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}