{"id":"https://openalex.org/W3149161855","doi":"https://doi.org/10.1007/s41095-021-0212-1","title":"SiamCPN: Visual tracking with the Siamese center-prediction network","display_name":"SiamCPN: Visual tracking with the Siamese center-prediction network","publication_year":2021,"publication_date":"2021-04-05","ids":{"openalex":"https://openalex.org/W3149161855","doi":"https://doi.org/10.1007/s41095-021-0212-1","mag":"3149161855"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-021-0212-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0212-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0212-1.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0212-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101449796","display_name":"Dong Chen","orcid":"https://orcid.org/0009-0000-5028-656X"},"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"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Chen","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","CASIA-LLVISION Joint Lab, Beijing, China","NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"CASIA-LLVISION Joint Lab, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112699696","display_name":"Fan Tang","orcid":"https://orcid.org/0000-0002-3975-2483"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Tang","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun 130012, China","School of Artificial Intelligence, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun 130012, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069298091","display_name":"Weiming Dong","orcid":"https://orcid.org/0000-0001-6502-145X"},"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"]},{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Dong","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","CASIA-LLVISION Joint Lab, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"CASIA-LLVISION Joint Lab, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009236464","display_name":"Hanxing Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210111607","display_name":"InferVision (China)","ror":"https://ror.org/027h3dg90","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111607"]},{"id":"https://openalex.org/I4210154323","display_name":"China Central Television","ror":"https://ror.org/059h8x781","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210154323"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanxing Yao","raw_affiliation_strings":["CASIA-LLVISION Joint Lab, Beijing 100190, China; LLVISION Technology Co., LTD., Beijing 100190, China","CASIA-LLVISION Joint Lab, Beijing, China","LLVISION Technology Co., LTD., Beijing, China"],"affiliations":[{"raw_affiliation_string":"CASIA-LLVISION Joint Lab, Beijing 100190, China; LLVISION Technology Co., LTD., Beijing 100190, China","institution_ids":["https://openalex.org/I4210154323"]},{"raw_affiliation_string":"CASIA-LLVISION Joint Lab, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"LLVISION Technology Co., LTD., Beijing, China","institution_ids":["https://openalex.org/I4210111607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"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"]},{"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","CASIA-LLVISION Joint Lab, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100040, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CASIA-LLVISION Joint Lab, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"CASIA-LLVISION Joint Lab, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101449796"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.484,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6371499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"2","first_page":"253","last_page":"265"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9807000160217285,"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":0.7869194746017456},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7224599123001099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7224191427230835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6687291860580444},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6478014588356018},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5854675769805908},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.585224986076355},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5646267533302307},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5328835248947144},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48674988746643066},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4720027446746826},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.3448830842971802},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24265366792678833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869194746017456},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7224599123001099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7224191427230835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6687291860580444},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6478014588356018},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5854675769805908},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.585224986076355},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5646267533302307},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5328835248947144},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48674988746643066},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4720027446746826},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3448830842971802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24265366792678833},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41095-021-0212-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0212-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0212-1.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41095-021-0212-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-021-0212-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-021-0212-1.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2203821447","display_name":null,"funder_award_id":"U20B2070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G323530312","display_name":null,"funder_award_id":"6183201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3424790759","display_name":null,"funder_award_id":"2018YFC0807500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6536340973","display_name":null,"funder_award_id":"U20B207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7596092009","display_name":null,"funder_award_id":"61832016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3149161855.pdf","grobid_xml":"https://content.openalex.org/works/W3149161855.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W639708223","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1915599933","https://openalex.org/W1955741794","https://openalex.org/W1997121481","https://openalex.org/W2081580037","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2124211486","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2343187456","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2578797046","https://openalex.org/W2614886235","https://openalex.org/W2618530766","https://openalex.org/W2776035257","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2916780012","https://openalex.org/W2937749627","https://openalex.org/W2951517839","https://openalex.org/W2962730651","https://openalex.org/W2962824803","https://openalex.org/W2963227409","https://openalex.org/W2963351448","https://openalex.org/W2963534981","https://openalex.org/W2964111344","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2971165985","https://openalex.org/W2998434318","https://openalex.org/W3012573144","https://openalex.org/W3035511673","https://openalex.org/W3102624093","https://openalex.org/W3108519869","https://openalex.org/W4234552385","https://openalex.org/W6600129504","https://openalex.org/W6605572670"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W3104472694","https://openalex.org/W2141888607","https://openalex.org/W57279572","https://openalex.org/W2753886513"],"abstract_inverted_index":{"Object":[0],"detection":[1],"is":[2,99,146,173],"widely":[3],"used":[4],"in":[5,37,52,55],"object":[6,9,35,51,125],"tracking;":[7],"anchor-free":[8,23,68,79],"tracking":[10,69,80],"provides":[11],"an":[12],"end-to-end":[13],"single-object-tracking":[14],"approach.":[15],"In":[16],"this":[17],"study,":[18],"we":[19,41],"propose":[20],"a":[21,56],"new":[22],"network,":[24],"the":[25,31,38,44,50,60,94,105,111,117,132,135],"Siamese":[26,118,143,165],"center-prediction":[27,97],"network":[28,58],"(SiamCPN).":[29],"Given":[30],"presence":[32],"of":[33,49,104,113,116,134],"referenced":[34],"features":[36],"initial":[39],"frame,":[40],"directly":[42,85],"predict":[43,124],"center":[45],"point":[46],"and":[47,77,130,149,169,172,182],"size":[48,133],"subsequent":[53],"frames":[54],"Siamese-structure":[57],"without":[59],"need":[61],"for":[62,90],"perframe":[63],"post-processing":[64],"operations.":[65],"Unlike":[66],"other":[67,141,163,176],"approaches":[70],"that":[71,159],"are":[72],"based":[73],"on":[74,167,179],"semantic":[75],"segmentation":[76],"achieve":[78],"by":[81],"pixel-level":[82],"prediction,":[83],"SiamCPN":[84,145],"obtains":[86],"all":[87],"information":[88],"required":[89],"tracking,":[91],"greatly":[92],"simplifying":[93],"model.":[95],"A":[96],"sub-network":[98],"applied":[100],"to":[101,107,140,175,189],"multiple":[102],"stages":[103],"backbone":[106],"adaptively":[108],"learn":[109],"from":[110],"experience":[112],"different":[114],"branches":[115],"net.":[119],"The":[120],"model":[121],"can":[122],"accurately":[123],"location,":[126],"implement":[127],"appropriate":[128],"corrections,":[129],"regress":[131],"target":[136],"bounding":[137],"box.":[138],"Compared":[139],"leading":[142,164],"networks,":[144],"simpler,":[147],"faster,":[148],"more":[150],"efficient":[151],"as":[152],"it":[153],"uses":[154],"fewer":[155],"hyperparameters.":[156],"Experiments":[157],"demonstrate":[158],"our":[160],"method":[161],"outperforms":[162],"networks":[166],"GOT-10K":[168],"UAV123":[170],"benchmarks,":[171],"comparable":[174],"excellent":[177],"trackers":[178],"LaSOT,":[180],"VOT2016,":[181],"OTB-100":[183],"while":[184],"improving":[185],"inference":[186],"speed":[187],"1.5":[188],"2":[190],"times.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
