{"id":"https://openalex.org/W3004198379","doi":"https://doi.org/10.1109/jstsp.2020.2969554","title":"DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks","display_name":"DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks","publication_year":2020,"publication_date":"2020-01-28","ids":{"openalex":"https://openalex.org/W3004198379","doi":"https://doi.org/10.1109/jstsp.2020.2969554","mag":"3004198379"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013534474","display_name":"Simon Wiedemann","orcid":"https://orcid.org/0000-0001-5144-3758"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Wiedemann","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039715520","display_name":"Heiner Kirchhoffer","orcid":"https://orcid.org/0000-0002-4955-1263"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Kirchhoffer","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052935868","display_name":"Stefan Matlage","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Matlage","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047193422","display_name":"Paul Haase","orcid":"https://orcid.org/0000-0002-0273-4564"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Haase","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071474008","display_name":"Arturo Marb\u00e1n","orcid":"https://orcid.org/0000-0003-3065-0103"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arturo Marban","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050035787","display_name":"Talmaj Marin\u010d","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Talmaj Marinc","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743673","display_name":"David Neumann","orcid":"https://orcid.org/0000-0003-1907-8329"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Neumann","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704003","display_name":"Tung Nguyen","orcid":"https://orcid.org/0000-0002-7429-4932"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tung Nguyen","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056193742","display_name":"Heiko Schwarz","orcid":"https://orcid.org/0000-0002-7136-0041"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Schwarz","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083836367","display_name":"Detlev Marpe","orcid":"https://orcid.org/0000-0002-5391-3247"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Detlev Marpe","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451495","display_name":"Wojciech Samek","orcid":"https://orcid.org/0000-0002-6283-3265"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wojciech Samek","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.741,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":93,"citation_normalized_percentile":{"value":0.999939,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"700","last_page":"714"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Image Compression Techniques and Standards","score":0.9993,"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/T10901","display_name":"Image Compression Techniques and Standards","score":0.9993,"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/T11105","display_name":"Single Image Super-Resolution Techniques","score":0.9988,"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/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9987,"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/lossy-compression","display_name":"Lossy compression","score":0.58133465},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5585078},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep Learning","score":0.554749},{"id":"https://openalex.org/keywords/scalable-compression","display_name":"Scalable Compression","score":0.533992},{"id":"https://openalex.org/keywords/model-compression","display_name":"Model Compression","score":0.507498},{"id":"https://openalex.org/keywords/neural-network-architectures","display_name":"Neural Network Architectures","score":0.507261},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless Compression","score":0.505508},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.48300993},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.46609512},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.4339557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77203405},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7535671},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.7336172},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.70353615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.62693083},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.58133465},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5585078},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5494388},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.50601405},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.50508076},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.48300993},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.46609512},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45972604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43928078},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.4339557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38056538},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15251184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.11900","pdf_url":"http://arxiv.org/pdf/1907.11900","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1907.11900","pdf_url":"https://arxiv.org/pdf/1907.11900","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320336673","funder_display_name":"Berlin Center for Machine Learning","award_id":"01IS18037I"}],"datasets":[],"versions":[],"referenced_works_count":58,"referenced_works":["https://openalex.org/W1567917159","https://openalex.org/W1667652561","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1974042972","https://openalex.org/W1995875735","https://openalex.org/W1999085092","https://openalex.org/W2060108852","https://openalex.org/W2129768577","https://openalex.org/W2156150815","https://openalex.org/W2260663238","https://openalex.org/W2283463896","https://openalex.org/W2300242332","https://openalex.org/W2505609860","https://openalex.org/W2560017826","https://openalex.org/W2582745083","https://openalex.org/W2582794520","https://openalex.org/W2593245696","https://openalex.org/W2611105550","https://openalex.org/W2612445135","https://openalex.org/W2619890685","https://openalex.org/W2724616073","https://openalex.org/W2766839578","https://openalex.org/W2768607686","https://openalex.org/W2783538964","https://openalex.org/W2785745756","https://openalex.org/W2796347433","https://openalex.org/W2796625795","https://openalex.org/W2896457183","https://openalex.org/W2919115771","https://openalex.org/W2921802966","https://openalex.org/W2952088488","https://openalex.org/W2963037463","https://openalex.org/W2963319203","https://openalex.org/W2963341956","https://openalex.org/W2963424132","https://openalex.org/W2963674932","https://openalex.org/W2963935227","https://openalex.org/W2963981420","https://openalex.org/W2964051635","https://openalex.org/W2964228333","https://openalex.org/W2964299589","https://openalex.org/W2967733054","https://openalex.org/W2977309503","https://openalex.org/W2978015420","https://openalex.org/W2980137827","https://openalex.org/W2981751377","https://openalex.org/W2989289980","https://openalex.org/W2996428491","https://openalex.org/W3008725350","https://openalex.org/W3080934299","https://openalex.org/W3100711616","https://openalex.org/W3123545922","https://openalex.org/W32508012","https://openalex.org/W4293584584","https://openalex.org/W4297737050","https://openalex.org/W4297775537","https://openalex.org/W4302296459"],"related_works":["https://openalex.org/W61332197","https://openalex.org/W2391847184","https://openalex.org/W2389208674","https://openalex.org/W2387280364","https://openalex.org/W2354892635","https://openalex.org/W2354884987","https://openalex.org/W2167897635","https://openalex.org/W2136537500","https://openalex.org/W2131702615","https://openalex.org/W2106538169"],"abstract_inverted_index":{"The":[0,188],"field":[1],"of":[2,8,27,31,38,56,76,130,135,175],"video":[3,79,103],"compression":[4,14,65,148],"has":[5],"developed":[6],"some":[7,30],"the":[9,18,77,93,101,108,122,128,133,136,166,182],"most":[10],"sophisticated":[11],"and":[12,50,106,193],"efficient":[13],"algorithms":[15],"known":[16],"in":[17,44],"literature,":[19],"enabling":[20],"very":[21],"high":[22],"compressibility":[23],"for":[24,52,67,100,110,155,191],"little":[25],"loss":[26,174],"information.":[28],"Whilst":[29],"these":[32],"techniques":[33,154],"are":[34,42],"domain":[35],"specific,":[36],"many":[37],"their":[39],"underlying":[40],"principles":[41],"universal":[43],"that":[45,71,120,143],"they":[46],"can":[47,195],"be":[48,196],"adapted":[49],"applied":[51],"compressing":[53],"different":[54],"types":[55],"data.":[57],"In":[58],"this":[59],"work":[60],"we":[61],"present":[62],"DeepCABAC,":[63],"a":[64,85,116],"algorithm":[66],"deep":[68],"neural":[69,156],"networks":[70],"is":[72,162],"based":[73],"on":[74],"one":[75],"state-of-the-art":[78,109],"coding":[80,104,153],"techniques.":[81],"Concretely,":[82],"it":[83,161],"applies":[84],"Context-based":[86],"Adaptive":[87],"Binary":[88],"Arithmetic":[89],"Coder":[90],"(CABAC)":[91],"to":[92,164,180],"network's":[94],"parameters,":[95],"which":[96],"was":[97],"originally":[98],"designed":[99],"H.264/AVC":[102],"standard":[105],"became":[107],"lossless":[111],"compression.":[112,158],"Moreover,":[113],"DeepCABAC":[114,144],"employs":[115],"novel":[117],"quantization":[118,131],"scheme":[119],"minimizes":[121],"rate-distortion":[123],"function":[124],"while":[125],"simultaneously":[126],"taking":[127],"impact":[129],"onto":[132],"accuracy":[134],"network":[137,157,184],"into":[138],"account.":[139],"Experimental":[140],"results":[141],"show":[142],"consistently":[145],"attains":[146],"higher":[147],"rates":[149],"than":[150],"previously":[151],"proposed":[152],"For":[159],"instance,":[160],"able":[163,179],"compress":[165],"VGG16":[167],"ImageNet":[168],"model":[169],"by":[170],"x63.6":[171],"with":[172,185],"no":[173],"accuracy,":[176],"thus":[177],"being":[178],"represent":[181],"entire":[183],"merely":[186],"8.7MB.":[187],"source":[189],"code":[190],"encoding":[192],"decoding":[194],"found":[197],"at":[198],"https://github.com/fraunhoferhhi/DeepCABAC.":[199]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3004198379","counts_by_year":[{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":13}],"updated_date":"2024-12-03T13:11:55.373230","created_date":"2020-02-07"}
