{"id":"https://openalex.org/W2944971001","doi":"https://doi.org/10.1109/access.2019.2918732","title":"Global-Local Attention Network for Aerial Scene Classification","display_name":"Global-Local Attention Network for Aerial Scene Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944971001","doi":"https://doi.org/10.1109/access.2019.2918732","mag":"2944971001"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2918732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08721039.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08721039.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002896929","display_name":"Yiyou Guo","orcid":"https://orcid.org/0000-0002-3497-6939"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyou Guo","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064423286","display_name":"Jinsheng Ji","orcid":"https://orcid.org/0000-0002-5360-919X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Ji","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081796777","display_name":"Xiankai Lu","orcid":"https://orcid.org/0000-0002-9543-6960"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiankai Lu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011090035","display_name":"Hong Huo","orcid":"https://orcid.org/0000-0002-2862-9455"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Huo","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615935","display_name":"Tao Fang","orcid":"https://orcid.org/0000-0002-8277-2551"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Fang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070369693","display_name":"Deren Li","orcid":"https://orcid.org/0000-0002-7277-6356"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deren Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002896929"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6977,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":{"value":0.95953492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"67200","last_page":"67212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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/softmax-function","display_name":"Softmax function","score":0.909905195236206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8384475111961365},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7554999589920044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7007554173469543},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6164608597755432},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5709605813026428},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5317659974098206},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5008358955383301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49770334362983704},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.48658454418182373},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45009854435920715},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4235784113407135},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42313048243522644}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.909905195236206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384475111961365},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7554999589920044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7007554173469543},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6164608597755432},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5709605813026428},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5317659974098206},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5008358955383301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49770334362983704},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.48658454418182373},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45009854435920715},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4235784113407135},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42313048243522644},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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},{"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:10.1109/access.2019.2918732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08721039.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bbeabd7702e0449288f7f1eeb98ee533","is_oa":true,"landing_page_url":"https://doaj.org/article/bbeabd7702e0449288f7f1eeb98ee533","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 67200-67212 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2918732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08721039.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"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/G1583088338","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2028330346","display_name":null,"funder_award_id":"61221003","funder_id":"https://openalex.org/F4320322271","funder_display_name":"Science Fund for Creative Research Groups"},{"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/G2266093480","display_name":null,"funder_award_id":"21-Y20A06-9001-17/18","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G3358715707","display_name":null,"funder_award_id":"21-Y20A06-9001-17/18","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G3378743195","display_name":null,"funder_award_id":"41571402","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/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4956378139","display_name":null,"funder_award_id":"61221003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/G6660855116","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322271","display_name":"Science Fund for Creative Research Groups","ror":null},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2944971001.pdf","grobid_xml":"https://content.openalex.org/works/W2944971001.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1526295910","https://openalex.org/W1686810756","https://openalex.org/W1912954554","https://openalex.org/W1963860205","https://openalex.org/W1963985200","https://openalex.org/W1980038761","https://openalex.org/W2001123951","https://openalex.org/W2019370496","https://openalex.org/W2024815898","https://openalex.org/W2029332336","https://openalex.org/W2033242207","https://openalex.org/W2033648988","https://openalex.org/W2041972612","https://openalex.org/W2059110141","https://openalex.org/W2066916495","https://openalex.org/W2067178723","https://openalex.org/W2070452328","https://openalex.org/W2074126754","https://openalex.org/W2105032938","https://openalex.org/W2108598243","https://openalex.org/W2118585731","https://openalex.org/W2121915926","https://openalex.org/W2153425333","https://openalex.org/W2203240275","https://openalex.org/W2213075807","https://openalex.org/W2288572574","https://openalex.org/W2289708887","https://openalex.org/W2291068538","https://openalex.org/W2295107390","https://openalex.org/W2329267147","https://openalex.org/W2515866431","https://openalex.org/W2548765218","https://openalex.org/W2550553598","https://openalex.org/W2592962403","https://openalex.org/W2607558879","https://openalex.org/W2614438169","https://openalex.org/W2620429297","https://openalex.org/W2621526417","https://openalex.org/W2626107033","https://openalex.org/W2727875856","https://openalex.org/W2744582969","https://openalex.org/W2752782242","https://openalex.org/W2780334404","https://openalex.org/W2782266583","https://openalex.org/W2783165089","https://openalex.org/W2787070260","https://openalex.org/W2792261129","https://openalex.org/W2792416626","https://openalex.org/W2802141460","https://openalex.org/W2808436940","https://openalex.org/W2883589384","https://openalex.org/W2883982921","https://openalex.org/W2963203586","https://openalex.org/W2963495494","https://openalex.org/W3105577662","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6677656871","https://openalex.org/W6743731764"],"related_works":["https://openalex.org/W3095152779","https://openalex.org/W3119773509","https://openalex.org/W3047363187","https://openalex.org/W3177373753","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W3128220219","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"The":[0,21,179],"classification":[1],"performance":[2],"of":[3,12,38,51,116,138,191],"aerial":[4,94],"scenes":[5],"relies":[6],"heavily":[7],"on":[8,55,168,182],"the":[9,62,100,105,119,123,126,136,145,169,174,189,192],"discriminative":[10],"power":[11],"feature":[13,58],"representation":[14],"from":[15],"high-spatial":[16],"resolution":[17],"remotely":[18],"sensed":[19],"imagery.":[20],"convolutional":[22],"neural":[23],"networks":[24,53],"(CNNs)":[25],"have":[26],"recently":[27],"been":[28],"applied":[29],"to":[30,86,155,172],"adaptively":[31],"learn":[32],"image":[33],"features":[34,44,151],"at":[35],"different":[36,156],"levels":[37],"abstraction":[39],"rather":[40],"than":[41],"requiring":[42],"handcrafted":[43],"and":[45,90,110,148,166],"achieved":[46],"state-of-the-art":[47],"performance.":[48],"However,":[49],"most":[50],"these":[52],"focus":[54],"multi-stage":[56],"global":[57,89,106,120],"learning":[59],"yet":[60],"neglect":[61],"local":[63,91,111,127],"information,":[64],"which":[65,117],"plays":[66],"an":[67],"important":[68],"role":[69],"in":[70,99],"scene":[71,95,186],"recognition.":[72],"To":[73],"address":[74],"this":[75],"issue,":[76],"a":[77],"novel":[78],"end-to-end":[79],"global-local":[80,194],"attention":[81,107,112,131,195],"network":[82,171,177],"(GLANet)":[83],"is":[84],"proposed":[85,170,193],"capture":[87],"both":[88],"information":[92,121,129],"for":[93,176],"classification.":[96],"FC":[97],"layers":[98],"VGGNet":[101],"are":[102,163],"replaced":[103],"by":[104,144],"(GA)":[108],"branch":[109],"(LA)":[113],"branch,":[114],"one":[115],"learns":[118,125],"while":[122],"other":[124],"semantic":[128],"via":[130],"mechanisms.":[132],"During":[133],"each":[134],"training,":[135],"labels":[137],"input":[139],"images":[140],"can":[141],"be":[142],"predicted":[143,157],"local,":[146],"global,":[147],"their":[149],"concatenated":[150],"using":[152],"softmax.":[153],"According":[154],"labels,":[158],"two":[159],"auxiliary":[160],"loss":[161],"functions":[162],"further":[164],"computed":[165],"imposed":[167],"enhance":[173],"supervision":[175],"learning.":[178],"experimental":[180],"results":[181],"three":[183],"challenging":[184],"large-scale":[185],"datasets":[187],"demonstrate":[188],"effectiveness":[190],"network.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":15}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
