{"id":"https://openalex.org/W4416429889","doi":"https://doi.org/10.1109/iccad66269.2025.11240865","title":"TETRIS: On-Device Trainable Energy-Efficient FPGA Accelerator for Trustworthy and Real-Time Instance Segmentation","display_name":"TETRIS: On-Device Trainable Energy-Efficient FPGA Accelerator for Trustworthy and Real-Time Instance Segmentation","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4416429889","doi":"https://doi.org/10.1109/iccad66269.2025.11240865"},"language":null,"primary_location":{"id":"doi:10.1109/iccad66269.2025.11240865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-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/A5012851274","display_name":"Seungil Lee","orcid":"https://orcid.org/0000-0002-1494-135X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seungil Lee","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018583359","display_name":"Juntae Park","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juntae Park","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104187328","display_name":"Kwanghyun Koo","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanghyun Koo","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104267519","display_name":"Gilha Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gilha Lee","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013492580","display_name":"Sangbeom Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangbeom Jeong","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012475087","display_name":"Junoh Park","orcid":null},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junoh Park","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371185","display_name":"Hyun Kim","orcid":"https://orcid.org/0000-0002-7962-657X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Kim","raw_affiliation_strings":["Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University of Science and Technology,Department of Electrical and Information Engineering and Research Center for Electrical and Information Technology,Seoul,Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012851274"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38687574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5877000093460083,"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":0.5877000093460083,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.09809999912977219,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.07599999755620956,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.755299985408783},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5641000270843506},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5354999899864197},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5027999877929688},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4961000084877014},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4675000011920929},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4300000071525574},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.38659998774528503},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3797999918460846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682999968528748},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.755299985408783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5777000188827515},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5641000270843506},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4961000084877014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49300000071525574},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4300000071525574},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3797999918460846},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.30149999260902405},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.30149999260902405},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2637999951839447},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad66269.2025.11240865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2584311934","https://openalex.org/W2888885397","https://openalex.org/W2917518248","https://openalex.org/W2963150697","https://openalex.org/W2981958729","https://openalex.org/W2988282777","https://openalex.org/W2993182889","https://openalex.org/W3004127905","https://openalex.org/W3004303566","https://openalex.org/W3034355852","https://openalex.org/W3035232708","https://openalex.org/W3040850704","https://openalex.org/W3178193590","https://openalex.org/W3208821873","https://openalex.org/W4210823275","https://openalex.org/W4213446428","https://openalex.org/W4312914306","https://openalex.org/W4379115862","https://openalex.org/W4386065890","https://openalex.org/W4386764056","https://openalex.org/W4387886080","https://openalex.org/W4388739379","https://openalex.org/W4389163044","https://openalex.org/W4389459222","https://openalex.org/W4390480903","https://openalex.org/W4390873519","https://openalex.org/W4390874575","https://openalex.org/W4391455287","https://openalex.org/W4400811284","https://openalex.org/W4401024916","https://openalex.org/W4401635350","https://openalex.org/W4403674949","https://openalex.org/W4403918168"],"related_works":[],"abstract_inverted_index":{"Instance":[0],"segmentation":[1,55,85,106,166],"plays":[2],"a":[3,58,133,138,150,172],"critical":[4],"role":[5],"in":[6,65,193],"high-precision":[7],"computer":[8],"vision":[9],"applications,":[10],"such":[11],"as":[12],"autonomous":[13],"driving":[14],"and":[15,25,49,111,118,127,149,178],"medical":[16],"image":[17,78],"analysis.":[18],"As":[19],"demands":[20],"for":[21,36,83,103],"both":[22,125],"model":[23],"accuracy":[24],"privacy-preserving":[26],"solutions":[27],"continue":[28],"to":[29,53,61,122,156,188],"rise,":[30],"on-device":[31,72],"training":[32,64,73,86,104,191],"is":[33],"gaining":[34],"traction":[35],"enabling":[37],"secure,":[38],"adaptive":[39],"learning":[40],"directly":[41],"on":[42,71,77,163],"edge":[43,195],"devices.":[44],"However,":[45],"the":[46,96],"intensive":[47],"computation":[48],"complex":[50],"dataflows":[51],"inherent":[52],"instance":[54,84,105,165],"models":[56],"pose":[57],"major":[59],"barrier":[60],"achieving":[62],"real-time":[63,190],"resource-constrained":[66,194],"environments.":[67,196],"While":[68],"prior":[69],"research":[70],"has":[74],"focused":[75],"largely":[76,88],"classification,":[79],"efficient":[80],"hardware":[81,99,135],"acceleration":[82],"remains":[87],"unexplored.":[89],"In":[90],"this":[91],"work,":[92],"we":[93],"present":[94],"TETRIS,":[95],"first":[97],"FPGA-based":[98],"accelerator":[100],"specifically":[101],"tailored":[102],"models.":[107],"TETRIS":[108,131,170],"introduces":[109],"structural":[110],"quantization-aware":[112],"optimizations,":[113],"including":[114],"channel-aware":[115],"smoothing":[116],"quantization":[117],"distribution-aware":[119],"tie":[120],"quantization,":[121],"significantly":[123],"reduce":[124],"computational":[126],"memory":[128],"overhead.":[129],"Moreover,":[130],"adopts":[132],"heterogeneous":[134],"architecture,":[136],"incorporating":[137],"reconfigurable":[139],"convolution":[140],"processing":[141,154],"unit":[142,155],"(RC-PU)":[143],"that":[144,169],"supports":[145],"variable":[146],"kernel":[147],"sizes":[148],"fully":[151],"pipelined":[152],"auxiliary":[153],"handle":[157],"specialized":[158],"operations":[159],"efficiently.":[160],"Experimental":[161],"evaluation":[162],"YOLACT-based":[164],"tasks":[167],"demonstrates":[168],"achieves":[171],"peak":[173],"performance":[174],"of":[175,182],"805.9":[176],"GOPS":[177],"an":[179],"energy":[180],"efficiency":[181],"69.5":[183],"GOPS/W,":[184],"confirming":[185],"its":[186],"ability":[187],"support":[189],"even":[192]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-20T00:00:00"}
