{"id":"https://openalex.org/W4313291231","doi":"https://doi.org/10.1109/tip.2022.3231744","title":"Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss","display_name":"Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4313291231","doi":"https://doi.org/10.1109/tip.2022.3231744","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015622"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3231744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231744","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5102002641","display_name":"Zhihao Wu","orcid":"https://orcid.org/0000-0002-2704-0614"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Wu","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063403522","display_name":"Chengliang Liu","orcid":"https://orcid.org/0000-0001-5983-8981"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Liu","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017617923","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0001-9554-2379"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wen","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning (OPTIMAL), School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102002641"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210144487"],"apc_list":null,"apc_paid":null,"fwci":6.9417,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97957469,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"682","last_page":"693"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pascal","display_name":"Pascal (unit)","score":0.7875433564186096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831976413726807},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6407669186592102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5644012093544006},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5577643513679504},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5478888750076294},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5319179892539978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5030431151390076},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4817940592765808},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4562585949897766},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4351986050605774},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42968082427978516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38998523354530334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30406612157821655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11764100193977356}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7875433564186096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831976413726807},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6407669186592102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5644012093544006},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5577643513679504},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5478888750076294},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5319179892539978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5030431151390076},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4817940592765808},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4562585949897766},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4351986050605774},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42968082427978516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38998523354530334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30406612157821655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11764100193977356},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3231744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3231744","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37015622","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015622","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4442375383","display_name":null,"funder_award_id":"ZDSYS20190902093015527","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G7502796343","display_name":null,"funder_award_id":"JSGG20220831104402004","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2108598243","https://openalex.org/W2168804568","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2604260814","https://openalex.org/W2752782242","https://openalex.org/W2798748179","https://openalex.org/W2813911573","https://openalex.org/W2891894830","https://openalex.org/W2895236117","https://openalex.org/W2934198733","https://openalex.org/W2944938209","https://openalex.org/W2954087924","https://openalex.org/W2963150697","https://openalex.org/W2963254348","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963516811","https://openalex.org/W2963949812","https://openalex.org/W2963952323","https://openalex.org/W2964328846","https://openalex.org/W2964444661","https://openalex.org/W2969764577","https://openalex.org/W2983943451","https://openalex.org/W2987761193","https://openalex.org/W2990400263","https://openalex.org/W2991023920","https://openalex.org/W2991533779","https://openalex.org/W2991662170","https://openalex.org/W2994041372","https://openalex.org/W2997125355","https://openalex.org/W3008354258","https://openalex.org/W3017351200","https://openalex.org/W3034329658","https://openalex.org/W3034971973","https://openalex.org/W3035725370","https://openalex.org/W3093397049","https://openalex.org/W3117854388","https://openalex.org/W3126494835","https://openalex.org/W3175385356","https://openalex.org/W3175704361","https://openalex.org/W3190805089","https://openalex.org/W3194159212","https://openalex.org/W3194733604","https://openalex.org/W3212216520","https://openalex.org/W4224920452","https://openalex.org/W4282913876","https://openalex.org/W4289752563","https://openalex.org/W4293584584","https://openalex.org/W4312866875","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6753280777","https://openalex.org/W6783940252","https://openalex.org/W6785700261"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Weakly":[0],"supervised":[1],"object":[2],"detection":[3,64],"(WSOD)":[4],"has":[5],"received":[6],"widespread":[7],"attention":[8,107],"since":[9,148],"it":[10,139],"requires":[11],"only":[12],"image-category":[13],"annotations":[14],"for":[15,92,97],"detector":[16],"training.":[17],"Many":[18],"advanced":[19],"approaches":[20],"solve":[21],"this":[22,58,123,198],"problem":[23,163],"by":[24,53,69,181],"a":[25,169],"two-phase":[26],"learning":[27,158],"framework,":[28],"that":[29,33,44,62,138,225],"is,":[30],"instance":[31,39,42,186,211],"mining":[32,187],"classifies":[34],"generated":[35],"proposals":[36,88,126],"via":[37],"multiple":[38],"learning,":[40],"and":[41,75,193,220,235],"refinement":[43],"iteratively":[45],"refines":[46],"bounding":[47],"boxes":[48,192],"using":[49],"the":[50,54,63,90,98,125,145,162,174,182,185,202,207,217,221,231,237],"supervision":[51,91,179],"produced":[52],"preceding":[55],"stage.":[56],"In":[57,122,197],"paper,":[59],"we":[60,83,103,167,200],"observe":[61],"performance":[65,232],"is":[66,137,150,173,242],"usually":[67],"limited":[68],"imprecise":[70],"supervision,":[71],"including":[72],"part":[73,101],"domination":[74],"untight":[76,165,195],"boxes.":[77],"To":[78,94],"mitigate":[79],"their":[80],"adverse":[81],"effects,":[82],"focus":[84],"on":[85,216],"selecting":[86],"high-quality":[87],"as":[89],"WSOD.":[93],"be":[95,141],"specific,":[96],"issue":[99],"of":[100,119,164,209,233],"domination,":[102],"propose":[104,168],"bottom-up":[105],"aggregated":[106],"which":[108,172],"incorporates":[109],"low-level":[110],"features":[111],"from":[112],"shallow":[113],"layers":[114],"to":[115,128,153,177,189],"improve":[116,230],"location":[117],"representation":[118],"top-level":[120],"features.":[121],"manner,":[124],"corresponding":[127],"entire":[129],"objects":[130],"can":[131,140,228],"get":[132],"high":[133],"scores.":[134],"Its":[135],"advantage":[136],"flexibly":[142],"plugged":[143],"into":[144,206],"WSOD":[146,234],"framework":[147,208],"there":[149],"no":[151],"need":[152],"attach":[154],"learnable":[155],"parameters":[156],"or":[157],"branches.":[159],"As":[160],"regards":[161],"boxes,":[166],"phase-aware":[170],"loss,":[171],"first":[175],"work":[176],"measure":[178],"quality":[180],"loss":[183],"in":[184],"phase,":[188],"highlight":[190],"correct":[191],"suppress":[194],"ones.":[196],"work,":[199],"unify":[201],"proposed":[203],"two":[204],"modules":[205],"online":[210],"classifier":[212],"refinement.":[213],"Extensive":[214],"experiments":[215],"PASCAL":[218],"VOC":[219],"MS":[222],"COCO":[223],"demonstrate":[224],"our":[226],"method":[227],"significantly":[229],"achieve":[236],"state-of-the-art":[238],"results.":[239],"The":[240],"code":[241],"available":[243],"at":[244],"https://github.com/Horatio9702/BUAA_PALoss.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":14}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}