{"id":"https://openalex.org/W4281918632","doi":"https://doi.org/10.48550/arxiv.2205.12268","title":"Wavelet Feature Maps Compression for Image-to-Image CNNs","display_name":"Wavelet Feature Maps Compression for Image-to-Image CNNs","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4281918632","doi":"https://doi.org/10.48550/arxiv.2205.12268"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2205.12268","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12268","pdf_url":"https://arxiv.org/pdf/2205.12268","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.12268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077844530","display_name":"Shahaf E. Finder","orcid":"https://orcid.org/0000-0003-0254-1380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Finder, Shahaf E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074222191","display_name":"Yair Zohav","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zohav, Yair","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012560232","display_name":"Maor Ashkenazi","orcid":"https://orcid.org/0000-0003-2742-6805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashkenazi, Maor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042450080","display_name":"Eran Treister","orcid":"https://orcid.org/0000-0002-5351-0966"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Treister, Eran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7843097448348999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439512014389038},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6751589775085449},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6146350502967834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050939559936523},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.5555494427680969},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5117535591125488},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4326152801513672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42844754457473755},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4283669590950012},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4281708300113678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4187145531177521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28474611043930054},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.24726679921150208},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23272168636322021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21889838576316833}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7843097448348999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439512014389038},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6751589775085449},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6146350502967834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050939559936523},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.5555494427680969},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5117535591125488},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4326152801513672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42844754457473755},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4283669590950012},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4281708300113678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4187145531177521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28474611043930054},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.24726679921150208},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23272168636322021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21889838576316833}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2205.12268","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12268","pdf_url":"https://arxiv.org/pdf/2205.12268","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2205.12268","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2205.12268","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2205.12268","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12268","pdf_url":"https://arxiv.org/pdf/2205.12268","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323278","display_name":"Council for Higher Education","ror":"https://ror.org/036mqp197"},{"id":"https://openalex.org/F4320337393","display_name":"Division of Chemistry","ror":"https://ror.org/01ar8dr59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W4312724860","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2747406033"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"are":[4,74],"known":[5,93],"for":[6,21,33,64,94],"requiring":[7],"extensive":[8],"computational":[9,77],"resources,":[10],"and":[11,17,48,89,100,137],"quantization":[12,26,133],"is":[13,146],"among":[14],"the":[15,75,102,105],"best":[16],"most":[18],"common":[19],"methods":[20],"compressing":[22],"them.":[23],"While":[24],"aggressive":[25],"(i.e.,":[27],"less":[28],"than":[29],"4-bits)":[30],"performs":[31],"well":[32],"classification,":[34],"it":[35],"may":[36],"cause":[37],"severe":[38],"performance":[39],"degradation":[40,141],"in":[41,97,142],"image-to-image":[42],"tasks":[43,113],"such":[44],"as":[45],"semantic":[46],"segmentation":[47],"depth":[49],"estimation.":[50],"In":[51],"this":[52,83],"paper,":[53],"we":[54,85,125],"propose":[55],"Wavelet":[56],"Compressed":[57],"Convolution":[58],"(WCC)":[59],"--":[60],"a":[61],"novel":[62],"approach":[63],"high-resolution":[65,117],"activation":[66,107,132],"maps":[67],"compression":[68,127],"integrated":[69],"with":[70,111,122,134],"point-wise":[71],"convolutions,":[72],"which":[73],"main":[76],"cost":[78],"of":[79],"modern":[80],"architectures.":[81],"To":[82],"end,":[84],"use":[86],"an":[87],"efficient":[88],"hardware-friendly":[90],"Haar-wavelet":[91],"transform,":[92],"its":[95],"effectiveness":[96],"image":[98],"compression,":[99],"define":[101],"convolution":[103],"on":[104],"compressed":[106],"map.":[108],"We":[109],"experiment":[110],"various":[112],"that":[114],"benefit":[115],"from":[116],"input.":[118],"By":[119],"combining":[120],"WCC":[121],"light":[123],"quantization,":[124],"achieve":[126],"rates":[128],"equivalent":[129],"to":[130],"1-4bit":[131],"relatively":[135],"small":[136],"much":[138],"more":[139],"graceful":[140],"performance.":[143],"Our":[144],"code":[145],"available":[147],"at":[148],"https://github.com/BGUCompSci/WaveletCompressedConvolution.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
