{"id":"https://openalex.org/W4391953383","doi":"https://doi.org/10.1109/tgrs.2024.3367778","title":"HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation","display_name":"HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391953383","doi":"https://doi.org/10.1109/tgrs.2024.3367778"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3367778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3367778","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5073051182","display_name":"Chao Pang","orcid":"https://orcid.org/0000-0002-4315-024X"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Pang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071887817","display_name":"Xingxing Weng","orcid":"https://orcid.org/0000-0002-3326-8439"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Weng","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101307397","display_name":"Jiang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wu","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367029","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-9875-7500"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["SenseTime Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073032922","display_name":"Gui-Song Xia","orcid":"https://orcid.org/0000-0001-7660-6090"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Song Xia","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073051182"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.9188,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86716152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9941999912261963,"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":0.9941999912261963,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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/change-detection","display_name":"Change detection","score":0.5284545421600342},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5153560042381287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48851263523101807},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.46766936779022217},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43661338090896606},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42814233899116516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40808579325675964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40021175146102905},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35335782170295715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33940285444259644},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.172811359167099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13231557607650757}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5284545421600342},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5153560042381287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48851263523101807},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.46766936779022217},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43661338090896606},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42814233899116516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40808579325675964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40021175146102905},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35335782170295715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33940285444259644},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.172811359167099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13231557607650757},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3367778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3367778","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3965009956","display_name":null,"funder_award_id":"U22B2011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7875021329","display_name":null,"funder_award_id":"62325111","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":49,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1984494057","https://openalex.org/W2010313500","https://openalex.org/W2083822273","https://openalex.org/W2116897660","https://openalex.org/W2194775991","https://openalex.org/W2295862745","https://openalex.org/W2751993439","https://openalex.org/W2805152403","https://openalex.org/W2811044316","https://openalex.org/W2891248708","https://openalex.org/W2914608334","https://openalex.org/W2963470893","https://openalex.org/W2967767914","https://openalex.org/W2972556197","https://openalex.org/W2982157312","https://openalex.org/W2995250549","https://openalex.org/W3009942016","https://openalex.org/W3014641072","https://openalex.org/W3027225766","https://openalex.org/W3035524453","https://openalex.org/W3036453075","https://openalex.org/W3106297436","https://openalex.org/W3120467244","https://openalex.org/W3122412340","https://openalex.org/W3130754787","https://openalex.org/W3133726918","https://openalex.org/W3171427178","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W3195032332","https://openalex.org/W3200974967","https://openalex.org/W3217456364","https://openalex.org/W4223972622","https://openalex.org/W4226228401","https://openalex.org/W4226305459","https://openalex.org/W4285156135","https://openalex.org/W4292971347","https://openalex.org/W4295413873","https://openalex.org/W4312309807","https://openalex.org/W4312458399","https://openalex.org/W4312549298","https://openalex.org/W4313023122","https://openalex.org/W4318767292","https://openalex.org/W4362472800","https://openalex.org/W4377079808","https://openalex.org/W4385245566","https://openalex.org/W4387789486","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2015705630","https://openalex.org/W2355368334","https://openalex.org/W2073313993"],"abstract_inverted_index":{"Advanced":[0],"change":[1,52],"detection":[2],"techniques":[3],"primarily":[4],"target":[5],"image":[6,23,29,40,47,87,98],"pairs":[7,24,48,88,99],"of":[8,161],"equal":[9],"and":[10,18,50,116,171],"high":[11],"quality.":[12,104],"However,":[13],"variations":[14],"in":[15,39,56,60,73,103,130,164],"imaging":[16],"conditions":[17],"platforms":[19],"frequently":[20],"lead":[21],"to":[22,89,125],"with":[25,97],"distinct":[26],"qualities:":[27],"one":[28],"being":[30,35],"high-quality,":[31],"while":[32,146],"the":[33,91,122,127,131,148,158],"other":[34],"low-quality.":[36],"These":[37],"disparities":[38],"quality":[41,173],"present":[42],"significant":[43],"challenges":[44],"for":[45],"understanding":[46],"semantically":[49],"extracting":[51],"features,":[53],"ultimately":[54],"resulting":[55],"a":[57,108],"notable":[58],"decline":[59],"performance.":[61],"To":[62],"tackle":[63],"this":[64],"challenge,":[65],"we":[66,106,156],"introduce":[67],"an":[68],"innovative":[69],"training":[70,151],"strategy":[71],"grounded":[72],"knowledge":[74,83,144],"distillation.":[75],"The":[76,175],"core":[77],"idea":[78],"revolves":[79],"around":[80],"leveraging":[81],"task":[82],"acquired":[84],"from":[85],"high-quality":[86],"guide":[90],"model\u2019s":[92,150],"learning":[93],"process":[94],"when":[95],"dealing":[96],"that":[100],"exhibit":[101],"differences":[102],"Additionally,":[105],"develop":[107],"hierarchical":[109],"correlation":[110],"distillation":[111],"approach":[112,120],"(involving":[113],"self-correlation,":[114],"cross-correlation,":[115],"global":[117],"correlation).":[118],"This":[119,141],"compels":[121],"student":[123,149],"model":[124],"replicate":[126],"correlations":[128],"inherent":[129],"teacher":[132],"model,":[133],"rather":[134],"than":[135],"focusing":[136],"solely":[137],"on":[138],"individual":[139],"features.":[140],"ensures":[142],"effective":[143],"transfer":[145],"maintaining":[147],"flexibility.":[152],"Through":[153],"extensive":[154],"experimentation,":[155],"demonstrate":[157],"remarkable":[159],"superiority":[160],"our":[162],"methodologies":[163],"scenarios":[165],"involving":[166],"only":[167],"resolution":[168],"disparities,":[169],"single-degradation,":[170],"multi-degradation":[172],"differences.":[174],"codes":[176],"will":[177],"be":[178],"released":[179],"at":[180],"https://github.com/fitzpchao/HiCD.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
