{"id":"https://openalex.org/W4403445967","doi":"https://doi.org/10.1109/tcsi.2024.3446662","title":"An Energy-Efficient CNN/Transformer Hybrid Neural Semantic Segmentation Processor With Chunk-Based Bit Plane Data Compression and Similarity-Based Token-Level Skipping Exploitation","display_name":"An Energy-Efficient CNN/Transformer Hybrid Neural Semantic Segmentation Processor With Chunk-Based Bit Plane Data Compression and Similarity-Based Token-Level Skipping Exploitation","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403445967","doi":"https://doi.org/10.1109/tcsi.2024.3446662"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2024.3446662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2024.3446662","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069094342","display_name":"Jongjun Park","orcid":"https://orcid.org/0009-0001-0168-1990"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongjun Park","raw_affiliation_strings":["College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-0168-1990","affiliations":[{"raw_affiliation_string":"College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022829556","display_name":"Seryeong Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seryeong Kim","raw_affiliation_strings":["College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083971339","display_name":"Won-Hoon Park","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonhoon Park","raw_affiliation_strings":["College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-9098-8985","affiliations":[{"raw_affiliation_string":"College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062542503","display_name":"Seokchan Song","orcid":"https://orcid.org/0000-0002-4119-8936"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokchan Song","raw_affiliation_strings":["College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4119-8936","affiliations":[{"raw_affiliation_string":"College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077896259","display_name":"Hoi\u2010Jun Yoo","orcid":"https://orcid.org/0000-0002-6661-4879"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoi-Jun Yoo","raw_affiliation_strings":["College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6661-4879","affiliations":[{"raw_affiliation_string":"College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.3462,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58994156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"71","issue":"12","first_page":"5482","last_page":"5493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9297000169754028,"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/computer-science","display_name":"Computer science","score":0.6850040555000305},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5582982897758484},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5514699220657349},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5119236707687378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4557875692844391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.413438081741333},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09941694140434265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08754682540893555},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08457303047180176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850040555000305},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5582982897758484},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5514699220657349},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5119236707687378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4557875692844391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.413438081741333},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09941694140434265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08754682540893555},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08457303047180176},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2024.3446662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2024.3446662","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2115613939","https://openalex.org/W2507296351","https://openalex.org/W2516109628","https://openalex.org/W2571103886","https://openalex.org/W2828496133","https://openalex.org/W2887531143","https://openalex.org/W2888816914","https://openalex.org/W2889280005","https://openalex.org/W2982317364","https://openalex.org/W3010667431","https://openalex.org/W3014641072","https://openalex.org/W3035060563","https://openalex.org/W3089500695","https://openalex.org/W3186077919","https://openalex.org/W3192398360","https://openalex.org/W4214520160","https://openalex.org/W4280595844","https://openalex.org/W4313150626","https://openalex.org/W4313467238","https://openalex.org/W4360831844","https://openalex.org/W4400230909","https://openalex.org/W6739696289","https://openalex.org/W6775855348","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4388335561","https://openalex.org/W2970530566","https://openalex.org/W4288261899","https://openalex.org/W4307309205","https://openalex.org/W2967478618","https://openalex.org/W4385009901","https://openalex.org/W4385572700","https://openalex.org/W2033914206","https://openalex.org/W4304700937","https://openalex.org/W2042327336"],"abstract_inverted_index":{"A":[0,44],"novel":[1],"energy-efficient":[2,32,40],"semantic":[3],"segmentation":[4],"(SS)":[5],"processor":[6,146],"is":[7,171],"proposed":[8,95,145],"for":[9,130],"achieving":[10],"high":[11,73],"system":[12],"energy":[13,59,151,158,168],"efficiency":[14,159,169],"on":[15],"mobile":[16],"devices.":[17],"1)":[18],"Excessive":[19],"external":[20,63,148],"memory":[21,56,64,149],"access":[22,150],"and":[23,58,79,115,133,154],"2)":[24],"a":[25,142,156],"large":[26],"amount":[27],"of":[28,76,160],"redundant":[29,122,139],"computation":[30,118,132],"hinders":[31],"SS":[33,178],"acceleration.":[34],"Three":[35],"key":[36],"features":[37],"enable":[38],"real-time":[39],"CNN/ViT":[41],"hybrid":[42],"SS.":[43],"new":[45],"compression":[46,68,83],"method":[47],"named":[48],"Chunk-based":[49],"Bit":[50],"Plane":[51],"Compression":[52],"(CBPC)":[53],"reduces":[54,116,147],"the":[55,72,105,113,117,175],"footprint":[57],"consumption":[60],"due":[61],"to":[62,137],"access.":[65],"CBPC":[66,96,99],"enhances":[67,112],"ratio":[69],"by":[70,120,152],"leveraging":[71],"inter-token":[74],"similarity":[75],"feature":[77],"maps":[78],"applying":[80],"bit":[81],"plane":[82,91],"in":[84],"sign-magnitude":[85],"data":[86],"representation,":[87],"using":[88],"chunk-wise":[89],"low-bit":[90],"shared":[92],"bias.":[93],"The":[94],"encoder/decoder":[97],"supports":[98],"with":[100],"minimum":[101],"area":[102],"overhead.":[103],"Additionally,":[104],"Similar":[106],"Token":[107],"Coarse":[108,135],"Skipping":[109,136],"(STCS)":[110],"Core":[111],"throughput":[114],"power":[119],"eliminating":[121],"computations.":[123],"STCS":[124],"core":[125,157],"employs":[126],"Row-wise":[127],"Line":[128],"Gating":[129],"low-power":[131],"Array-wise":[134],"minimize":[138],"computation.":[140],"As":[141],"result,":[143],"our":[144],"67.6%":[153],"achieves":[155,165],"19.24":[161],"TOPS/W.":[162],"Our":[163],"solution":[164],"3.55mJ/frame":[166],"system-level":[167],"which":[170],"79.7%":[172],"higher":[173],"than":[174],"previous":[176],"SOTA":[177],"processor.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}