{"id":"https://openalex.org/W4410087511","doi":"https://doi.org/10.1109/icara64554.2025.10977695","title":"Low-Compute Trash Segmentation Using Pretrained Vision Transformers Without Fine-Tuning","display_name":"Low-Compute Trash Segmentation Using Pretrained Vision Transformers Without Fine-Tuning","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4410087511","doi":"https://doi.org/10.1109/icara64554.2025.10977695"},"language":"en","primary_location":{"id":"doi:10.1109/icara64554.2025.10977695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara64554.2025.10977695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Automation, Robotics, and Applications (ICARA)","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/A5072035305","display_name":"Philip Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philip Keller","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062749833","display_name":"Michael M\u00f6ck","orcid":"https://orcid.org/0009-0009-9864-8924"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael M\u00f6ck","raw_affiliation_strings":["Karlsruhe Institute of Technology,Karlsruhe,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009997706","display_name":"Georg Heppner","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg Heppner","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112552331","display_name":"R\u00fcdiger Dillmann","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R\u00fcdiger Dillmann","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1140575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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-vision","display_name":"Computer vision","score":0.7220591306686401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7192291617393494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931458711624146},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6661456227302551},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6043188571929932},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5095232129096985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34177878499031067},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15372684597969055},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09008067846298218},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08310103416442871}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7220591306686401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7192291617393494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931458711624146},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6661456227302551},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6043188571929932},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5095232129096985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34177878499031067},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15372684597969055},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09008067846298218},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08310103416442871}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icara64554.2025.10977695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara64554.2025.10977695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Automation, Robotics, and Applications (ICARA)","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":13,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2157825442","https://openalex.org/W2336525064","https://openalex.org/W2963150697","https://openalex.org/W3134040756","https://openalex.org/W3176196997","https://openalex.org/W4200580899","https://openalex.org/W4313125078","https://openalex.org/W4323536996","https://openalex.org/W4386075882","https://openalex.org/W4387167377","https://openalex.org/W4401070841","https://openalex.org/W6846529796"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W4395685956","https://openalex.org/W3159516372","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"With":[0],"more":[1,3,11,13],"and":[2,12,24,59,81],"people":[4],"in":[5,16,85],"our":[6,106,140],"world,":[7],"there":[8,33],"is":[9,50,96],"unfortunately":[10],"garbage,":[14],"especially":[15],"the":[17,30,72,91,113,130,137,150],"environment.":[18],"Collecting":[19],"it":[20],"can":[21],"be":[22],"tedious":[23],"requires":[25],"valuable":[26],"human":[27],"labor.":[28],"On":[29],"other":[31],"hand,":[32],"are":[34,145],"several":[35],"projects":[36],"for":[37,93,161],"autonomous":[38],"robots":[39],"to":[40,56,79,115],"take":[41],"over":[42],"this":[43],"task.":[44],"However,":[45],"visual":[46],"perception":[47,68],"of":[48,61,75,90,129,139],"garbage":[49],"still":[51],"an":[52],"open":[53],"challenge":[54],"due":[55],"its":[57],"variance":[58],"diversity":[60],"objects.":[62],"We":[63],"propose":[64],"a":[65,102],"computationally":[66,157],"inexpensive":[67],"architecture":[69,107,152],"that":[70,126],"uses":[71],"attention-based":[73],"skills":[74],"pretrained":[76],"vision":[77],"transformers":[78],"locate":[80],"coarsely":[82],"segment":[83],"trash":[84,94,159],"images.":[86],"No":[87],"special":[88],"fine-tuning":[89],"model":[92],"objects":[95],"required.":[97],"In":[98],"addition,":[99],"we":[100],"incorporate":[101],"distraction":[103],"branch":[104],"into":[105],"based":[108],"on":[109],"LRP,":[110],"which":[111],"provides":[112],"ability":[114],"divert":[116],"attention":[117],"away":[118],"from":[119],"common":[120],"objects,":[121],"such":[122],"as":[123],"small":[124],"animals,":[125],"were":[127],"part":[128],"initial":[131],"general":[132],"pretraining.":[133],"Our":[134],"experiments":[135],"demonstrate":[136],"advantages":[138],"approach":[141],"when":[142],"new":[143],"classes":[144],"introduced":[146],"during":[147],"testing.":[148],"Furthermore,":[149],"modular":[151],"enables":[153],"future":[154],"developments":[155],"towards":[156],"efficient":[158],"segmentation":[160],"mobile":[162],"robots.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}