{"id":"https://openalex.org/W4407639007","doi":"https://doi.org/10.1109/tpami.2025.3542542","title":"Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection","display_name":"Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4407639007","doi":"https://doi.org/10.1109/tpami.2025.3542542","pmid":"https://pubmed.ncbi.nlm.nih.gov/40036409"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3542542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3542542","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014201978","display_name":"Yi Yu","orcid":"https://orcid.org/0000-0002-9841-4687"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9841-4687","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043503650","display_name":"Xue Yang","orcid":"https://orcid.org/0000-0002-7084-9101"},"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":"Xue Yang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7084-9101","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/A5091715567","display_name":"Yansheng Li","orcid":"https://orcid.org/0000-0001-8985-3541"},"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":"Yansheng Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8985-3541","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000034551","display_name":"Zhenjun Han","orcid":"https://orcid.org/0000-0002-9970-5152"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjun Han","raw_affiliation_strings":["School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9970-5152","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109138805","display_name":"Feipeng Da","orcid":"https://orcid.org/0000-0001-5475-3145"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feipeng Da","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5475-3145","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087158377","display_name":"Junchi Yan","orcid":"https://orcid.org/0000-0001-9639-7679"},"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":"Junchi Yan","raw_affiliation_strings":["School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9639-7679","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3587,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95648896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"47","issue":"6","first_page":"4438","last_page":"4454"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7809404730796814},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7453241348266602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740150511264801},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7117323279380798},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.672396183013916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6555001735687256},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5409911274909973},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5061818957328796},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5043495893478394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4840078055858612},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4576948285102844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3662680387496948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11798706650733948}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7809404730796814},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7453241348266602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740150511264801},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7117323279380798},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.672396183013916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6555001735687256},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5409911274909973},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5061818957328796},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5043495893478394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4840078055858612},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4576948285102844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3662680387496948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11798706650733948},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3542542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3542542","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40036409","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40036409","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G176091877","display_name":null,"funder_award_id":"2023M740602","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G187169856","display_name":null,"funder_award_id":"62222607","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2333716686","display_name":null,"funder_award_id":"72342023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7191614929","display_name":null,"funder_award_id":"62306069","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W2194775991","https://openalex.org/W2504335775","https://openalex.org/W2552414813","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2605982830","https://openalex.org/W2765975602","https://openalex.org/W2788202095","https://openalex.org/W2884367402","https://openalex.org/W2884561390","https://openalex.org/W2962749812","https://openalex.org/W2963150697","https://openalex.org/W2963624663","https://openalex.org/W2964294787","https://openalex.org/W2964979676","https://openalex.org/W2979994465","https://openalex.org/W2982363097","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2988916019","https://openalex.org/W2991359031","https://openalex.org/W2992240579","https://openalex.org/W3004492228","https://openalex.org/W3008115128","https://openalex.org/W3034993937","https://openalex.org/W3096609285","https://openalex.org/W3099008583","https://openalex.org/W3100234280","https://openalex.org/W3100341797","https://openalex.org/W3106228955","https://openalex.org/W3106546328","https://openalex.org/W3109055651","https://openalex.org/W3124328747","https://openalex.org/W3136761610","https://openalex.org/W3140922383","https://openalex.org/W3170033848","https://openalex.org/W3173331776","https://openalex.org/W3173658130","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3176608652","https://openalex.org/W3177105943","https://openalex.org/W3179888767","https://openalex.org/W3180169285","https://openalex.org/W3203608457","https://openalex.org/W4200303201","https://openalex.org/W4214648418","https://openalex.org/W4221167637","https://openalex.org/W4225125774","https://openalex.org/W4226327087","https://openalex.org/W4226456028","https://openalex.org/W4281389393","https://openalex.org/W4282044689","https://openalex.org/W4283800076","https://openalex.org/W4290715466","https://openalex.org/W4295977776","https://openalex.org/W4309216301","https://openalex.org/W4312578467","https://openalex.org/W4312750973","https://openalex.org/W4312792327","https://openalex.org/W4312804579","https://openalex.org/W4313189557","https://openalex.org/W4318483458","https://openalex.org/W4360839569","https://openalex.org/W4383220186","https://openalex.org/W4385482851","https://openalex.org/W4385749866","https://openalex.org/W4386065355","https://openalex.org/W4386076367","https://openalex.org/W4386076619","https://openalex.org/W4386902860","https://openalex.org/W4387918004","https://openalex.org/W4388407805","https://openalex.org/W4390826350","https://openalex.org/W4390872703","https://openalex.org/W4390874575","https://openalex.org/W4392940160","https://openalex.org/W4394007658","https://openalex.org/W4394564089","https://openalex.org/W4394596501","https://openalex.org/W4395039702","https://openalex.org/W4398151207","https://openalex.org/W4399336048","https://openalex.org/W4402727088","https://openalex.org/W4402754222","https://openalex.org/W4402754284","https://openalex.org/W4403381959","https://openalex.org/W4403674943","https://openalex.org/W4404809967","https://openalex.org/W4405115670","https://openalex.org/W6757817989","https://openalex.org/W6767465851","https://openalex.org/W6788870397","https://openalex.org/W6796744688","https://openalex.org/W6811378280","https://openalex.org/W6846169171","https://openalex.org/W6852044425","https://openalex.org/W6855542886","https://openalex.org/W6862775517","https://openalex.org/W6874047301"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W3039174484","https://openalex.org/W4287728368","https://openalex.org/W3163786145","https://openalex.org/W2244279624","https://openalex.org/W4321784794"],"abstract_inverted_index":{"Accurately":[0],"estimating":[1],"the":[2,33,45,129,140],"orientation":[3,36],"of":[4,48,98,128],"visual":[5],"objects":[6,57],"with":[7,35,55,61],"compact":[8],"rotated":[9],"bounding":[10,28],"boxes":[11,29,63],"(RBoxes)":[12],"has":[13],"become":[14],"a":[15,93,111],"prominent":[16],"demand,":[17],"which":[18],"challenges":[19],"existing":[20,53],"object":[21,87],"detection":[22],"paradigms":[23],"that":[24,127],"only":[25,115],"use":[26],"horizontal":[27,62,81],"(HBoxes).":[30],"To":[31],"equip":[32],"detectors":[34],"awareness,":[37],"supervised":[38],"regression/classification":[39],"modules":[40],"have":[41],"been":[42],"introduced":[43],"at":[44],"high":[46],"cost":[47],"rotation":[49],"annotation.":[50],"Meanwhile,":[51],"some":[52],"datasets":[54],"oriented":[56,86,147],"are":[58],"already":[59],"annotated":[60],"or":[64],"even":[65],"single":[66,78],"points.":[67],"It":[68],"becomes":[69],"attractive":[70],"yet":[71],"remains":[72],"open":[73],"for":[74,118,146],"effectively":[75],"utilizing":[76],"weaker":[77],"point":[79],"and":[80,107,135],"annotations":[82],"to":[83,126],"train":[84],"an":[85],"detector":[88],"(OOD).":[89],"We":[90],"develop":[91],"Wholly-WOOD,":[92],"weakly-supervised":[94],"OOD":[95],"framework,":[96],"capable":[97],"wholly":[99],"leveraging":[100],"various":[101],"labeling":[102],"forms":[103],"(Points,":[104],"HBoxes,":[105],"RBoxes,":[106],"their":[108],"combination)":[109],"in":[110],"unified":[112],"fashion.":[113],"By":[114],"using":[116],"HBox":[117],"training,":[119],"our":[120],"Wholly-WOOD":[121],"achieves":[122],"performance":[123],"very":[124],"close":[125],"RBox-trained":[130],"counterpart":[131],"on":[132,143],"remote":[133],"sensing":[134],"other":[136],"areas,":[137],"significantly":[138],"reducing":[139],"tedious":[141],"efforts":[142],"labor-intensive":[144],"annotation":[145],"objects.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
