{"id":"https://openalex.org/W4221153599","doi":"https://doi.org/10.1088/2632-2153/ac7a02","title":"Lightweight jet reconstruction and identification as an object detection task","display_name":"Lightweight jet reconstruction and identification as an object detection task","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4221153599","doi":"https://doi.org/10.1088/2632-2153/ac7a02"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ac7a02","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac7a02","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac7a02/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac7a02/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084994817","display_name":"Adrian Alan Pol","orcid":"https://orcid.org/0000-0002-9034-0230"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH","US"],"is_corresponding":true,"raw_author_name":"Adrian Alan Pol","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland","Princeton University, Princeton, NJ, United States of America"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]},{"raw_affiliation_string":"Princeton University, Princeton, NJ, United States of America","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107251596","display_name":"F. Canelli","orcid":null},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Thea Aarrestad","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055083217","display_name":"Ekaterina Govorkova","orcid":null},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ekaterina Govorkova","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034633411","display_name":"Roi Halily","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roi Halily","raw_affiliation_strings":["CEVA Inc., Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"CEVA Inc., Herzliya, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029785081","display_name":"Anat Klempner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anat Klempner","raw_affiliation_strings":["CEVA Inc., Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"CEVA Inc., Herzliya, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001688990","display_name":"Tal Kopetz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tal Kopetz","raw_affiliation_strings":["CEVA Inc., Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"CEVA Inc., Herzliya, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039731897","display_name":"Vladimir Lon\u010dar","orcid":"https://orcid.org/0000-0003-3651-0232"},"institutions":[{"id":"https://openalex.org/I4210149559","display_name":"Institute of Physics Belgrade","ror":"https://ror.org/04h3h5b09","country_code":"RS","type":"facility","lineage":["https://openalex.org/I4068193","https://openalex.org/I4210149559"]},{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH","RS"],"is_corresponding":false,"raw_author_name":"Vladimir Loncar","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland","Institute of Physics Belgrade, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]},{"raw_affiliation_string":"Institute of Physics Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4210149559"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jennifer Ngadiuba","orcid":"https://orcid.org/0000-0002-0055-2935"},"institutions":[{"id":"https://openalex.org/I1314696892","display_name":"Fermi National Accelerator Laboratory","ror":"https://ror.org/020hgte69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1314696892","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210114836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Ngadiuba","raw_affiliation_strings":["Fermi National Accelerator Laboratory, Winfield Township, DuPage County, IL, United States of America"],"affiliations":[{"raw_affiliation_string":"Fermi National Accelerator Laboratory, Winfield Township, DuPage County, IL, United States of America","institution_ids":["https://openalex.org/I1314696892"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maurizio Pierini","orcid":"https://orcid.org/0000-0003-1939-4268"},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Maurizio Pierini","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066356247","display_name":"Olya Sirkin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olya Sirkin","raw_affiliation_strings":["CEVA Inc., Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"CEVA Inc., Herzliya, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104476667","display_name":"S. Summers","orcid":"https://orcid.org/0000-0003-4244-2061"},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sioni Summers","raw_affiliation_strings":["European Organization for Nuclear Research (CERN), Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN), Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5084994817"],"corresponding_institution_ids":["https://openalex.org/I20089843","https://openalex.org/I67311998"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02100648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"2","first_page":"025016","last_page":"025016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.14329999685287476,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.14329999685287476,"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/T11044","display_name":"Particle Detector Development and Performance","score":0.13660000264644623,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.1273999959230423,"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":0.6914883852005005},{"id":"https://openalex.org/keywords/large-hadron-collider","display_name":"Large Hadron Collider","score":0.6800757050514221},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5202720761299133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4626733958721161},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4543047547340393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45140206813812256},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4426499009132385},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.439352422952652},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3350374102592468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.322720468044281},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11797511577606201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6914883852005005},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.6800757050514221},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5202720761299133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4626733958721161},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4543047547340393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45140206813812256},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4426499009132385},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.439352422952652},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3350374102592468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.322720468044281},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11797511577606201},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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":5,"locations":[{"id":"doi:10.1088/2632-2153/ac7a02","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac7a02","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac7a02/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1854889","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1854889","pdf_url":"https://www.osti.gov/servlets/purl/1854889","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:cds.cern.ch:2801371","is_oa":true,"landing_page_url":"http://cds.cern.ch/record/2801371","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/593130","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/593130","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, 3 (2)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000593130","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000593130","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ac7a02","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac7a02","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac7a02/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2445786185","display_name":null,"funder_award_id":"772369","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320313559","display_name":"CERN","ror":"https://ror.org/01ggx4157"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221153599.pdf","grobid_xml":"https://content.openalex.org/works/W4221153599.grobid-xml"},"referenced_works_count":92,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1677182931","https://openalex.org/W1690836630","https://openalex.org/W1982315938","https://openalex.org/W1987435915","https://openalex.org/W2021788065","https://openalex.org/W2037518654","https://openalex.org/W2047792789","https://openalex.org/W2049513428","https://openalex.org/W2050263799","https://openalex.org/W2061165786","https://openalex.org/W2076214561","https://openalex.org/W2077205367","https://openalex.org/W2091966057","https://openalex.org/W2095801021","https://openalex.org/W2102605133","https://openalex.org/W2107532421","https://openalex.org/W2108598243","https://openalex.org/W2136477950","https://openalex.org/W2151512268","https://openalex.org/W2163097950","https://openalex.org/W2165610102","https://openalex.org/W2168008406","https://openalex.org/W2168356304","https://openalex.org/W2257617748","https://openalex.org/W2325907229","https://openalex.org/W2341528187","https://openalex.org/W2491766731","https://openalex.org/W2512944313","https://openalex.org/W2563484019","https://openalex.org/W2566668505","https://openalex.org/W2570343428","https://openalex.org/W2581875816","https://openalex.org/W2586557507","https://openalex.org/W2586654419","https://openalex.org/W2604487509","https://openalex.org/W2624881227","https://openalex.org/W2694935213","https://openalex.org/W2745461083","https://openalex.org/W2752782242","https://openalex.org/W2779367312","https://openalex.org/W2783538964","https://openalex.org/W2787586057","https://openalex.org/W2792435888","https://openalex.org/W2798675783","https://openalex.org/W2913340405","https://openalex.org/W2916245928","https://openalex.org/W2922800887","https://openalex.org/W2955058313","https://openalex.org/W2962851801","https://openalex.org/W2962888073","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963689043","https://openalex.org/W2964217527","https://openalex.org/W2971227749","https://openalex.org/W2978822778","https://openalex.org/W2988452521","https://openalex.org/W2988916019","https://openalex.org/W2998367775","https://openalex.org/W3001665736","https://openalex.org/W3020995000","https://openalex.org/W3037884215","https://openalex.org/W3037961236","https://openalex.org/W3045102472","https://openalex.org/W3108149322","https://openalex.org/W3125333719","https://openalex.org/W3125889496","https://openalex.org/W3193565141","https://openalex.org/W3194181657","https://openalex.org/W3194889720","https://openalex.org/W6620707391","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639703010","https://openalex.org/W6677103964","https://openalex.org/W6686164453","https://openalex.org/W6694954494","https://openalex.org/W6714138976","https://openalex.org/W6723816956","https://openalex.org/W6730047919","https://openalex.org/W6745136726","https://openalex.org/W6745499552","https://openalex.org/W6746348132","https://openalex.org/W6748666111","https://openalex.org/W6753412334","https://openalex.org/W6754484989","https://openalex.org/W6766978945","https://openalex.org/W6768921883","https://openalex.org/W6785652829","https://openalex.org/W6795140976"],"related_works":["https://openalex.org/W5259128","https://openalex.org/W792754","https://openalex.org/W10675490","https://openalex.org/W7094981","https://openalex.org/W5537121","https://openalex.org/W6603565","https://openalex.org/W2786405","https://openalex.org/W5786838","https://openalex.org/W11431900","https://openalex.org/W2175747"],"abstract_inverted_index":{"Abstract":[0],"We":[1,117,134],"apply":[2],"object":[3],"detection":[4],"techniques":[5],"based":[6],"on":[7,160],"deep":[8],"convolutional":[9],"blocks":[10],"to":[11,48,65],"end-to-end":[12],"jet":[13],"identification":[14],"and":[15,32,40,62,68,84,102,108,121,127,148,164],"reconstruction":[16],"tasks":[17,64],"encountered":[18],"at":[19,29],"the":[20,30,137,142,150,157],"CERN":[21],"large":[22],"hadron":[23],"collider":[24],"(LHC).":[25],"Collision":[26],"events":[27],"produced":[28],"LHC":[31],"represented":[33],"as":[34,45],"an":[35,46,85],"image":[36],"composed":[37],"of":[38,81,111,144],"calorimeter":[39],"tracker":[41],"cells":[42],"are":[43],"given":[44],"input":[47],"a":[49,112,131],"Single":[50],"Shot":[51],"Detection":[52],"network.":[53],"The":[54],"algorithm,":[55],"named":[56],"PFJet-SSD":[57],"performs":[58],"simultaneous":[59],"localization,":[60],"classification":[61],"regression":[63],"cluster":[66],"jets":[67],"reconstruct":[69],"their":[70,125],"features.":[71],"This":[72],"all-in-one":[73],"single":[74],"feed-forward":[75],"pass":[76],"gives":[77],"advantages":[78],"in":[79],"terms":[80],"execution":[82],"time":[83],"improved":[86],"accuracy":[87,126],"w.r.t.":[88],"traditional":[89],"rule-based":[90,152],"methods.":[91],"A":[92],"further":[93],"gain":[94],"is":[95],"obtained":[96],"from":[97],"network":[98,139],"slimming,":[99],"homogeneous":[100],"quantization,":[101,123],"optimized":[103],"runtime":[104],"for":[105],"meeting":[106],"memory":[107],"latency":[109,129,159],"constraints":[110],"typical":[113],"real-time":[114],"processing":[115],"environment.":[116],"experiment":[118],"with":[119],"8-bit":[120],"ternary":[122,138],"benchmarking":[124],"inference":[128,158],"against":[130],"single-precision":[132],"floating-point.":[133],"show":[135],"that":[136],"closely":[140],"matches":[141],"performance":[143],"its":[145],"full-precision":[146],"equivalent":[147],"outperforms":[149],"state-of-the-art":[151],"algorithm.":[153],"Finally,":[154],"we":[155],"report":[156],"different":[161],"hardware":[162],"platforms":[163],"discuss":[165],"future":[166],"applications.":[167]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2022-04-03T00:00:00"}
