{"id":"https://openalex.org/W4392940160","doi":"https://doi.org/10.1109/tpami.2024.3378777","title":"On Boundary Discontinuity in Angle Regression Based Arbitrary Oriented Object Detection","display_name":"On Boundary Discontinuity in Angle Regression Based Arbitrary Oriented Object Detection","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392940160","doi":"https://doi.org/10.1109/tpami.2024.3378777","pmid":"https://pubmed.ncbi.nlm.nih.gov/38502623"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3378777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3378777","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":true,"raw_author_name":"Yi Yu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"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/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"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014201978"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":6.5946,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.9759915,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"46","issue":"10","first_page":"6494","last_page":"6508"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9980999827384949,"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/discontinuity","display_name":"Discontinuity (linguistics)","score":0.788500189781189},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6895747184753418},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6384750008583069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370049715042114},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5242491364479065},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5233118534088135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5216891169548035},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4960556924343109},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.49536430835723877},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.460584819316864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.458456426858902},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4245384931564331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38104185461997986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32220935821533203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.276999831199646},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14621776342391968},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12737050652503967},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07929310202598572}],"concepts":[{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.788500189781189},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6895747184753418},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6384750008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370049715042114},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5242491364479065},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5233118534088135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216891169548035},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4960556924343109},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.49536430835723877},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.460584819316864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.458456426858902},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4245384931564331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38104185461997986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32220935821533203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.276999831199646},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14621776342391968},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12737050652503967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07929310202598572},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3378777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3378777","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:38502623","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38502623","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":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"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/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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1993305004","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2605982830","https://openalex.org/W2785383245","https://openalex.org/W2788202095","https://openalex.org/W2804654620","https://openalex.org/W2884367402","https://openalex.org/W2884561390","https://openalex.org/W2949058942","https://openalex.org/W2962749812","https://openalex.org/W2964018263","https://openalex.org/W2964294787","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/W2997747012","https://openalex.org/W3004492228","https://openalex.org/W3015331846","https://openalex.org/W3016796920","https://openalex.org/W3034993937","https://openalex.org/W3097779785","https://openalex.org/W3099008583","https://openalex.org/W3100234280","https://openalex.org/W3106228955","https://openalex.org/W3109055651","https://openalex.org/W3136761610","https://openalex.org/W3138516171","https://openalex.org/W3140922383","https://openalex.org/W3141404903","https://openalex.org/W3170033848","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3177105943","https://openalex.org/W3203608457","https://openalex.org/W3206735675","https://openalex.org/W4214648418","https://openalex.org/W4225125774","https://openalex.org/W4226456028","https://openalex.org/W4285189202","https://openalex.org/W4286582003","https://openalex.org/W4290715466","https://openalex.org/W4310853903","https://openalex.org/W4312804579","https://openalex.org/W4313119505","https://openalex.org/W4319450743","https://openalex.org/W4321484121","https://openalex.org/W4323922078","https://openalex.org/W4360839569","https://openalex.org/W4385516883","https://openalex.org/W4386065355","https://openalex.org/W4390873076","https://openalex.org/W4390874500","https://openalex.org/W4402754271","https://openalex.org/W6757817989","https://openalex.org/W6760424586","https://openalex.org/W6788870397","https://openalex.org/W6796744688","https://openalex.org/W6802324077","https://openalex.org/W6811378280","https://openalex.org/W6850392929","https://openalex.org/W6852044425","https://openalex.org/W6852841297"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1702821","https://openalex.org/W2969957441","https://openalex.org/W4321784794"],"abstract_inverted_index":{"With":[0],"vigorous":[1],"development":[2],"e.g.,":[3],"in":[4,73],"autonomous":[5],"driving":[6],"and":[7,76,79,102,129,137,142],"remote":[8],"sensing,":[9],"oriented":[10],"object":[11],"detection":[12],"has":[13,32],"gradually":[14],"been":[15],"featured.":[16],"The":[17],"majority":[18],"of":[19,35,100,108,122,125,145],"existing":[20],"methods":[21,88,157],"directly":[22],"perform":[23],"regression":[24],"on":[25,132],"the":[26,97,120,140,143,155],"rotation":[27],"angle,":[28],"which":[29],"we":[30],"argue":[31],"fundamental":[33],"limitations":[34],"boundary":[36,98],"discontinuity":[37,99],"(even":[38],"if":[39],"using":[40],"Gaussian":[41,85],"or":[42,86],"RotatedIoU-based":[43,87],"losses).":[44],"In":[45],"this":[46,60],"paper,":[47],"a":[48,74,111,162],"novel":[49],"angle":[50,68],"coder":[51,54],"named":[52],"phase-shifting":[53],"(PSC)":[55],"is":[56,115],"proposed":[57,116,156],"to":[58,89,117,160],"address":[59],"issue.":[61],"Different":[62],"from":[63],"another":[64],"well-explored":[65],"alternative":[66],"i.e.,":[67],"classification,":[69],"PSC":[70],"achieves":[71],"boundary-discontinuity-free":[72],"continuous":[75],"differentiable":[77],"manner":[78],"thus":[80],"can":[81],"work":[82],"together":[83],"with":[84],"further":[90],"boost":[91],"their":[92],"performance.":[93,164],"Moreover,":[94],"by":[95],"rethinking":[96],"elongated":[101],"square-like":[103],"objects":[104],"as":[105],"rotational":[106],"symmetry":[107],"different":[109],"cycles,":[110],"dual-frequency":[112],"version":[113],"(PSCD)":[114],"accurately":[118],"predict":[119],"orientation":[121],"both":[123],"types":[124],"objects.":[126],"Visual":[127],"analysis":[128],"extensive":[130],"experiments":[131],"several":[133],"popular":[134],"backbone":[135],"detectors":[136],"datasets":[138],"demonstrate":[139],"effectiveness":[141],"potentiality":[144],"our":[146],"approach.":[147],"When":[148],"facing":[149],"scenarios":[150],"requiring":[151],"high-quality":[152],"bounding":[153],"boxes,":[154],"are":[158],"expected":[159],"give":[161],"competitive":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}