{"id":"https://openalex.org/W4390755599","doi":"https://doi.org/10.1109/jstars.2024.3352578","title":"PTRSegNet: A Patch-to-Region Bottom\u2013Up Pyramid Framework for the Semantic Segmentation of Large-Format Remote Sensing Images","display_name":"PTRSegNet: A Patch-to-Region Bottom\u2013Up Pyramid Framework for the Semantic Segmentation of Large-Format Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390755599","doi":"https://doi.org/10.1109/jstars.2024.3352578"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3352578","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3352578","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10388401.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10388401.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002491709","display_name":"Shiyan Pang","orcid":"https://orcid.org/0000-0002-1713-3972"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyan Pang","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347729","display_name":"Yepeng Shi","orcid":"https://orcid.org/0009-0001-2764-598X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yepeng Shi","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084145556","display_name":"Hanchun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanchun Hu","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060707296","display_name":"Lizhi Ye","orcid":"https://orcid.org/0009-0008-1883-3699"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Ye","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011227681","display_name":"Chen Jia","orcid":"https://orcid.org/0000-0002-8239-4757"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002491709"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.8286,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90895474,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"3664","last_page":"3673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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":0.9984999895095825,"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":0.9970999956130981,"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":0.7728906273841858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163922548294067},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6020448803901672},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.558332622051239},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5467461943626404},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5349430441856384},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.5292277336120605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4657633602619171},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.43525606393814087},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4176274836063385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3434871435165405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0860801637172699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728906273841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163922548294067},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6020448803901672},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.558332622051239},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5467461943626404},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5349430441856384},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.5292277336120605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4657633602619171},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.43525606393814087},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4176274836063385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3434871435165405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0860801637172699},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3352578","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3352578","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10388401.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f08fd084f7f4a86bcb16f2ccdbdb8f3","is_oa":true,"landing_page_url":"https://doaj.org/article/3f08fd084f7f4a86bcb16f2ccdbdb8f3","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3664-3673 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3352578","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3352578","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10388401.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1426577664","display_name":null,"funder_award_id":"22QN01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1690698178","display_name":null,"funder_award_id":"2022010","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2137125342","display_name":null,"funder_award_id":"202143","funder_id":"https://openalex.org/F4320323173","funder_display_name":"Central China Normal University"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3786745975","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4256731588","display_name":null,"funder_award_id":"2021CFB539","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4738384356","display_name":null,"funder_award_id":"22YJC880058","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G6195851879","display_name":null,"funder_award_id":"CCNU23KYZHSY17","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6800637952","display_name":null,"funder_award_id":"CCNU22QN019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6804958431","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G949504025","display_name":null,"funder_award_id":"CCNU22QN011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320323173","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337408","display_name":"Division of Undergraduate Education","ror":"https://ror.org/02kd4km72"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390755599.pdf","grobid_xml":"https://content.openalex.org/works/W4390755599.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2908320224","https://openalex.org/W2955058313","https://openalex.org/W3005226210","https://openalex.org/W3094502228","https://openalex.org/W3103092912","https://openalex.org/W3127751679","https://openalex.org/W3129042754","https://openalex.org/W3138516171","https://openalex.org/W3160694286","https://openalex.org/W3202923600","https://openalex.org/W4205363709","https://openalex.org/W4206470192","https://openalex.org/W4226060438","https://openalex.org/W4296079303","https://openalex.org/W4312600819","https://openalex.org/W4312785900","https://openalex.org/W4312950730","https://openalex.org/W4313524854","https://openalex.org/W4313591257","https://openalex.org/W4317515957","https://openalex.org/W4318605714","https://openalex.org/W4318719552","https://openalex.org/W4372055171","https://openalex.org/W4386634500","https://openalex.org/W4388739256","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6846780591","https://openalex.org/W6848963243"],"related_works":["https://openalex.org/W2103835134","https://openalex.org/W2953187864","https://openalex.org/W2888728082","https://openalex.org/W3121197456","https://openalex.org/W2357288015","https://openalex.org/W1998396719","https://openalex.org/W2350165951","https://openalex.org/W2091811247","https://openalex.org/W2383053048","https://openalex.org/W2118130975"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,16,50,84,128,226,253,262],"is":[2,101,115,130,185,213,231],"a":[3,78,93,102,109,116,123,209],"basic":[4],"task":[5],"in":[6],"the":[7,42,48,82,98,112,144,157,162,169,175,189,217,223,244,271,277],"interpretation":[8],"of":[9,45,51,64,85,161,239,254,273,276],"remote":[10,25,87,256],"sensing":[11,26,88,257],"images.":[12,89],"Mainstream":[13],"deep-learning-based":[14],"semantic":[15,49,83,127,141,146,153,158,177,191,195,200,219,225,252,261],"algorithms":[17],"typically":[18,28],"process":[19,134,216],"images":[20,27,56,258],"with":[21,32,202],"small":[22,55,103,135],"sizes.":[23],"However,":[24],"involve":[29],"large":[30,117],"areas":[31,53],"buildings":[33],"and":[34,67,111,156,194,205,250],"water,":[35],"which":[36],"have":[37],"weak":[38],"textures.":[39],"Owing":[40],"to":[41,59,107,121,133,138,173,187,197,215,221,269],"limited":[43],"range":[44],"receptive":[46],"fields,":[47],"such":[52,61],"from":[54],"may":[57],"lead":[58],"problems,":[60,74],"as":[62,108,122],"loss":[63],"spatial":[65],"features":[66,147,196,201,220],"inaccurate":[68],"boundary":[69],"extraction.":[70],"To":[71],"address":[72],"these":[73],"this":[75],"paper":[76],"devises":[77],"patch-to-region":[79],"framework":[80,91,230,245],"for":[81],"large-format":[86],"This":[90],"has":[92],"bottom-up":[94],"pyramid":[95],"structure,":[96],"where":[97],"bottom":[99],"layer":[100,114],"image":[104,118,136,164],"patch,":[105],"referred":[106,120],"\u201cpatch,\u201d":[110],"upper":[113],"region,":[119],"\u201cregion.\u201d":[124],"The":[125,228,237],"classical":[126],"network":[129],"first":[131],"used":[132,186,214],"patches":[137],"obtain":[139,198,222],"pixel-by-pixel":[140,145],"features.":[142],"Then,":[143],"are":[148,166,267],"sparsely":[149],"reduced":[150],"into":[151],"patch-level":[152],"feature":[154,159,178,192],"vectors,":[155],"vectors":[160,193],"entire":[163],"region":[165],"processed":[167],"through":[168],"contextual":[170],"information":[171,182],"extractor":[172],"extract":[174],"global":[176,190,204],"vectors.":[179],"Subsequently,":[180],"an":[181],"aggregation":[183],"module":[184,212,275],"integrate":[188],"new":[199,218],"both":[203],"local":[206],"information.":[207],"Finally,":[208],"lightweight":[210],"decoding":[211],"final":[224],"result.":[227],"developed":[229],"evaluated":[232],"over":[233],"three":[234],"public":[235],"datasets.":[236],"results":[238],"extensive":[240],"experiments":[241],"show":[242],"that":[243],"can":[246],"achieve":[247],"more":[248],"accurate":[249],"reliable":[251],"high-resolution":[255],"than":[259],"state-of-the-art":[260],"algorithms.":[263],"Moreover,":[264],"ablation":[265],"studies":[266],"performed":[268],"verify":[270],"effectiveness":[272],"each":[274],"framework.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2024-01-13T00:00:00"}