{"id":"https://openalex.org/W3093591919","doi":"https://doi.org/10.1109/tcsvt.2020.3033165","title":"Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification","display_name":"Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification","publication_year":2020,"publication_date":"2020-10-22","ids":{"openalex":"https://openalex.org/W3093591919","doi":"https://doi.org/10.1109/tcsvt.2020.3033165","mag":"3093591919"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3033165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3033165","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10116297/1/TCSVT-XiaokangZhang-accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100412318","display_name":"Xiaokang Zhang","orcid":"https://orcid.org/0000-0001-9199-6998"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-9199-6998","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3674-7160","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079361172","display_name":"Jing\u2010Hao Xue","orcid":"https://orcid.org/0000-0003-1174-610X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing-Hao Xue","raw_affiliation_strings":["University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1174-610X","affiliations":[{"raw_affiliation_string":"University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016123060","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0001-5536-503X"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Hua","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University Belfast, Belfast, U.K","School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5536-503X","affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-6913-9786","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8082,"has_fulltext":true,"cited_by_count":95,"citation_normalized_percentile":{"value":0.96207806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"31","issue":"7","first_page":"2764","last_page":"2778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996999979019165,"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":0.8156569004058838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7091497182846069},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6251391172409058},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6135776042938232},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49078568816185},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4867727756500244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4674689769744873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4665251672267914},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.464344322681427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45350387692451477},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44114652276039124},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.43641820549964905},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42500782012939453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09132182598114014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8156569004058838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7091497182846069},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6251391172409058},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6135776042938232},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49078568816185},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4867727756500244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4674689769744873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4665251672267914},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.464344322681427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45350387692451477},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44114652276039124},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.43641820549964905},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42500782012939453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09132182598114014},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2020.3033165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3033165","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10116297","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10116297/","pdf_url":"https://discovery.ucl.ac.uk/10116297/1/TCSVT-XiaokangZhang-accepted.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology (2020) (In press).","raw_type":"Article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/5f701b52-fc14-41b3-95a0-63f9e7b461b7","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/5f701b52-fc14-41b3-95a0-63f9e7b461b7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhang , X , Yan , Y , Xue , J-H , Hua , Y & Wang , H 2020 , ' Semantic-aware occlusion-robust network for occluded person re-identification ' , IEEE Transactions on Circuits and Systems for Video Technology , vol. 31 , no. 7 , pp. 2764 - 2778 . https://doi.org/10.1109/TCSVT.2020.3033165","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10116297","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10116297/","pdf_url":"https://discovery.ucl.ac.uk/10116297/1/TCSVT-XiaokangZhang-accepted.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology (2020) (In press).","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2143830251","display_name":null,"funder_award_id":"2020J01001","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6528361795","display_name":"\u590d\u6742\u573a\u666f\u4e0b\u7684\u957f\u7a0b\u76ee\u6807\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835609421","display_name":null,"funder_award_id":"2017YFB1302400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8055606312","display_name":"\u57fa\u4e8e\u9c81\u68d2\u6a21\u578b\u62df\u5408\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u4eba\u8138\u5c5e\u6027\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071404","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093591919.pdf","grobid_xml":"https://content.openalex.org/works/W3093591919.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1991452654","https://openalex.org/W2099474347","https://openalex.org/W2108598243","https://openalex.org/W2135442311","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2235916736","https://openalex.org/W2361187101","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2606377603","https://openalex.org/W2747685395","https://openalex.org/W2768610172","https://openalex.org/W2770739811","https://openalex.org/W2797394071","https://openalex.org/W2798590501","https://openalex.org/W2798775284","https://openalex.org/W2798874329","https://openalex.org/W2883348239","https://openalex.org/W2884375749","https://openalex.org/W2886209409","https://openalex.org/W2890159224","https://openalex.org/W2890423208","https://openalex.org/W2897450186","https://openalex.org/W2931208564","https://openalex.org/W2949117887","https://openalex.org/W2954451719","https://openalex.org/W2954765307","https://openalex.org/W2955058313","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963046907","https://openalex.org/W2963090248","https://openalex.org/W2963330186","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963637710","https://openalex.org/W2963781481","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2963876278","https://openalex.org/W2963899050","https://openalex.org/W2964121744","https://openalex.org/W2964130064","https://openalex.org/W2964163358","https://openalex.org/W2964201641","https://openalex.org/W2964304299","https://openalex.org/W2967359135","https://openalex.org/W2981393440","https://openalex.org/W2990317318","https://openalex.org/W2998508940","https://openalex.org/W2998776895","https://openalex.org/W3035539956","https://openalex.org/W3102668440","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6725558437","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6743440100","https://openalex.org/W6746316091","https://openalex.org/W6747428963","https://openalex.org/W6750459956","https://openalex.org/W6753127565","https://openalex.org/W6754663736","https://openalex.org/W6755740987","https://openalex.org/W6761710910","https://openalex.org/W6764823761","https://openalex.org/W6774688414"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2170799233","https://openalex.org/W2378391535"],"abstract_inverted_index":{"In":[0,31,80],"recent":[1],"years,":[2],"deep":[3],"learning-based":[4],"person":[5,52,59,170,178,201,215],"re-identification":[6],"(Re-ID)":[7],"methods":[8,18,196],"have":[9],"made":[10],"significant":[11],"progress.":[12],"However,":[13],"the":[14,45,49,62,82,90,106,119,123,145,150,154,159,186,189,206,209],"performance":[15],"of":[16,51,66,122,188,208],"these":[17],"substantially":[19],"decreases":[20],"when":[21],"dealing":[22],"with":[23,193],"occlusion,":[24],"which":[25,117],"is":[26,64,141],"ubiquitous":[27],"in":[28,132],"realistic":[29],"scenarios.":[30],"this":[32],"article,":[33],"we":[34],"propose":[35],"a":[36,70,73,77,94,110,114,133,167],"novel":[37,95],"semantic-aware":[38],"occlusion-robust":[39,102],"network":[40],"(SORN)":[41],"that":[42],"effectively":[43],"exploits":[44],"intrinsic":[46],"relationship":[47],"between":[48],"tasks":[50],"Re-ID":[53,171,179,216],"and":[54,76,89,153,175,183,199,220],"semantic":[55,78,107],"segmentation":[56],"for":[57,113,197],"occluded":[58,169,198],"Re-ID.":[60,202],"Specifically,":[61],"SORN":[63],"composed":[65],"three":[67,127],"branches,":[68],"including":[69],"local":[71,83,87,146],"branch,":[72,75],"global":[74,91,103,155],"branch.":[79],"particular,":[81],"branch":[84,92,108],"extracts":[85],"part-based":[86],"features,":[88],"leverages":[93],"spatial-patch":[96],"contrastive":[97],"loss":[98],"(SPC)":[99],"to":[100],"extract":[101],"features.":[104],"Meanwhile,":[105],"generates":[109],"foreground-background":[111],"mask":[112],"pedestrian":[115,139,161],"image,":[116],"indicates":[118],"non-occluded":[120,151],"areas":[121,152],"human":[124],"body.":[125],"The":[126],"branches":[128],"are":[129],"jointly":[130],"trained":[131],"unified":[134],"multi-task":[135],"learning":[136],"network.":[137],"Finally,":[138],"matching":[140],"performed":[142],"based":[143],"on":[144,166,212],"features":[147,156],"extracted":[148,157],"from":[149,158],"whole":[160],"image.":[162],"Extensive":[163],"experimental":[164],"results":[165],"large-scale":[168],"dataset":[172],"(i.e.,":[173,181,218],"Occluded-DukeMTMC)":[174],"two":[176,213],"partial":[177,200],"datasets":[180,217],"Partial-REID":[182],"Partial-iLIDS)":[184],"show":[185],"superiority":[187],"proposed":[190,210],"method":[191,211],"compared":[192],"several":[194],"state-of-the-art":[195],"We":[203],"also":[204],"demonstrate":[205],"effectiveness":[207],"general":[214],"Market-1501":[219],"DukeMTMC-reID).":[221]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}