{"id":"https://openalex.org/W3090774634","doi":"https://doi.org/10.1109/dicta51227.2020.9363374","title":"One-Shot learning based classification for segregation of plastic waste","display_name":"One-Shot learning based classification for segregation of plastic waste","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3090774634","doi":"https://doi.org/10.1109/dicta51227.2020.9363374","mag":"3090774634"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.13953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012705335","display_name":"Shivaank Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shivaank Agarwal","raw_affiliation_strings":["Department of Computer Science, BITS Pilani, Hyderabad, India","BITS Pilani,Department of Computer Science,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, BITS Pilani, Hyderabad, India","institution_ids":["https://openalex.org/I74796645"]},{"raw_affiliation_string":"BITS Pilani,Department of Computer Science,Hyderabad,India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111218246","display_name":"Ravindra D. Gudi","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravindra Gudi","raw_affiliation_strings":["Department of Chemical Engineering, IIT Bombay, Mumbai, India","Indian Institute of Technology Bombay"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, IIT Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003610243","display_name":"Paresh Saxena","orcid":"https://orcid.org/0000-0002-7426-1292"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Paresh Saxena","raw_affiliation_strings":["Department of Computer Science, BITS Pilani, Hyderabad, India","Birla Institute of Technology and Science,Pilani"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, BITS Pilani, Hyderabad, India","institution_ids":["https://openalex.org/I74796645"]},{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012705335"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.10496732,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40670226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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":0.9972000122070312,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9787999987602234,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9764000177383423,"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/plastic-waste","display_name":"Plastic waste","score":0.803320586681366},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8016712069511414},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7601119875907898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7008641958236694},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6493549942970276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6050278544425964},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5480248928070068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5430947542190552},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5168890953063965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35817790031433105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3234197497367859},{"id":"https://openalex.org/keywords/waste-management","display_name":"Waste management","score":0.25662893056869507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2396964132785797},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13713353872299194},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12375146150588989},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.04756847023963928}],"concepts":[{"id":"https://openalex.org/C2993109238","wikidata":"https://www.wikidata.org/wiki/Q7202090","display_name":"Plastic waste","level":2,"score":0.803320586681366},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8016712069511414},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7601119875907898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7008641958236694},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6493549942970276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050278544425964},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5480248928070068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430947542190552},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5168890953063965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35817790031433105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3234197497367859},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.25662893056869507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2396964132785797},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13713353872299194},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12375146150588989},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.04756847023963928},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2009.13953","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.13953","pdf_url":"https://arxiv.org/pdf/2009.13953","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3090774634","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2009.13953.pdf","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2009.13953","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.13953","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.13953","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.13953","pdf_url":"https://arxiv.org/pdf/2009.13953","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090774634.pdf","grobid_xml":"https://content.openalex.org/works/W3090774634.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2759949237","https://openalex.org/W2948478927","https://openalex.org/W2963037989","https://openalex.org/W3091905774","https://openalex.org/W3099206234","https://openalex.org/W3106250896","https://openalex.org/W6744777971","https://openalex.org/W6783596713","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3003566741","https://openalex.org/W134561036","https://openalex.org/W40559248","https://openalex.org/W3189679720","https://openalex.org/W2512569467","https://openalex.org/W2041676669","https://openalex.org/W3006542432","https://openalex.org/W2107010062","https://openalex.org/W2523735602","https://openalex.org/W2562366143","https://openalex.org/W2083464458","https://openalex.org/W1927170233","https://openalex.org/W2549182484","https://openalex.org/W2945970107","https://openalex.org/W2398336627","https://openalex.org/W2798158829","https://openalex.org/W2428321108","https://openalex.org/W2765611817","https://openalex.org/W2188465890","https://openalex.org/W1662058764"],"abstract_inverted_index":{"The":[0,28,58],"problem":[1],"of":[2,21,50,63],"segregating":[3],"recyclable":[4],"waste":[5,23,52],"is":[6],"fairly":[7],"daunting":[8],"for":[9,17],"many":[10],"countries.":[11],"This":[12],"article":[13],"presents":[14],"an":[15,61],"approach":[16,30,59],"image":[18],"based":[19,53],"classification":[20],"plastic":[22,51],"using":[24],"one-shot":[25],"learning":[26],"techniques.":[27],"proposed":[29],"exploits":[31],"discriminative":[32],"features":[33],"generated":[34],"via":[35],"the":[36,66],"siamese":[37],"and":[38],"triplet":[39],"loss":[40],"convolutional":[41],"neural":[42],"networks":[43],"to":[44],"help":[45],"differentiate":[46],"between":[47],"5":[48],"types":[49],"on":[54,65],"their":[55],"resin":[56],"codes.":[57],"achieves":[60],"accuracy":[62],"99.74%":[64],"WaDaBa":[67],"Database":[68]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
