{"id":"https://openalex.org/W4386175066","doi":"https://doi.org/10.1109/lgrs.2023.3308582","title":"GradQuant: Low-Loss Quantization for Remote-Sensing Object Detection","display_name":"GradQuant: Low-Loss Quantization for Remote-Sensing Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386175066","doi":"https://doi.org/10.1109/lgrs.2023.3308582"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3308582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3308582","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5079668307","display_name":"Chenwei Deng","orcid":"https://orcid.org/0000-0002-3747-5128"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenwei Deng","raw_affiliation_strings":["School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038931640","display_name":"Zhiyuan Deng","orcid":"https://orcid.org/0009-0004-8190-9597"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Deng","raw_affiliation_strings":["School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690609","display_name":"Yuqi Han","orcid":"https://orcid.org/0000-0001-7905-0163"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Han","raw_affiliation_strings":["School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024498727","display_name":"Donglin Jing","orcid":"https://orcid.org/0000-0003-3021-5371"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Jing","raw_affiliation_strings":["School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Key Laboratory of Embedded Real-time Information Processing Technique, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Beijing Key Laboratory of Embedded Real-time Information Processing Technique, School of Information and Electronics, Beijing Institute of Technology, Beijing, P.R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430263","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1282-3755"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079668307"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.8597,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75533818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8068301677703857},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7451393008232117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633536696434021},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.6208515167236328},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5489681959152222},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5429155826568604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5413716435432434},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48638275265693665},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.47284653782844543},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.44923123717308044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3807162344455719},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3794322907924652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068301677703857},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7451393008232117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633536696434021},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.6208515167236328},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5489681959152222},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5429155826568604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5413716435432434},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48638275265693665},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.47284653782844543},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.44923123717308044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3807162344455719},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3794322907924652},{"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":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3308582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3308582","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G692399883","display_name":null,"funder_award_id":"62171040","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1841592590","https://openalex.org/W2172654076","https://openalex.org/W2296151615","https://openalex.org/W2469490737","https://openalex.org/W2577537809","https://openalex.org/W2604319603","https://openalex.org/W2786771851","https://openalex.org/W2809624076","https://openalex.org/W2896718327","https://openalex.org/W2962834855","https://openalex.org/W2981751377","https://openalex.org/W3180134609","https://openalex.org/W4221162983","https://openalex.org/W4226034202","https://openalex.org/W4288257146","https://openalex.org/W4293075084","https://openalex.org/W4308173664","https://openalex.org/W4312918249","https://openalex.org/W4320930577","https://openalex.org/W4365790486","https://openalex.org/W4384080779","https://openalex.org/W4385422161","https://openalex.org/W6638783484","https://openalex.org/W6720242923","https://openalex.org/W6746023985","https://openalex.org/W6748224102","https://openalex.org/W6753069482","https://openalex.org/W6754503602","https://openalex.org/W6781550413","https://openalex.org/W6810610777"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W4312376745","https://openalex.org/W2076520961","https://openalex.org/W2913302899","https://openalex.org/W2767651786","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2406522397"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,29],"based":[3],"methods":[4,31],"have":[5,32],"shown":[6],"remarkable":[7],"performance":[8],"in":[9,36],"remote":[10],"sensing":[11],"object":[12,66,129,160],"detection.":[13],"However,":[14],"their":[15,24],"deployment":[16],"on":[17,158,169],"resource-limited":[18],"embedded":[19],"devices":[20],"is":[21,123,150],"hindered":[22],"by":[23,42,104],"high":[25],"computational":[26],"complexity.":[27],"Neural":[28],"quantization":[30,93,100,183],"been":[33],"proven":[34],"effective":[35],"compressing":[37],"and":[38,46,53,108],"accelerating":[39],"CNN":[40],"models":[41,154],"clipping":[43,58,105],"outlier":[44,60,106],"activations":[45,61,107],"utilizing":[47],"low-precision":[48],"values":[49],"to":[50,63,126,152,155],"represent":[51],"weights":[52],"clipped":[54],"activations.":[55],"Nonetheless,":[56],"the":[57,70,78,85,109,140,174],"of":[59,65,72,80,111,142,163,176],"leads":[62],"distortion":[64],"local":[67,165],"features.":[68],"Furthermore,":[69],"lack":[71,110],"enhanced":[73],"overall":[74,112],"feature":[75,113],"mining":[76],"exacerbates":[77],"degradation":[79],"detection":[81],"accuracy.":[82],"To":[83],"address":[84],"limitations":[86],"above,":[87],"we":[88],"propose":[89],"an":[90,144],"innovative":[91],"clipping-free":[92],"method":[94,149,178],"called":[95],"GradQuant,":[96],"which":[97],"mitigates":[98],"model\u2019s":[99],"accuracy":[101],"loss":[102],"caused":[103],"mining.":[114],"Specifically,":[115],"a":[116,134],"bounded":[117],"activation":[118,145],"function":[119],"(sigmoid-weighted":[120],"tanh,":[121],"SiTanh)":[122],"carefully":[124],"designed":[125],"ensure":[127],"that":[128],"features":[130,161],"are":[131],"represented":[132],"within":[133],"limited":[135],"range":[136],"without":[137],"clipping.":[138],"On":[139],"basis":[141],"this,":[143],"substitute":[146],"training":[147],"(AST)":[148],"co-designed":[151],"prompt":[153],"focus":[156],"more":[157],"non-outlier":[159],"instead":[162],"outlier-like":[164],"ones.":[166],"Extensive":[167],"experiments":[168],"public":[170],"remote-sensing":[171],"datasets":[172],"demonstrate":[173],"effectiveness":[175],"GradQuant":[177],"compared":[179],"with":[180],"other":[181],"state-of-the-art":[182],"methods.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
