{"id":"https://openalex.org/W4385577069","doi":"https://doi.org/10.1109/tsp59544.2023.10197832","title":"Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation","display_name":"Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation","publication_year":2023,"publication_date":"2023-07-12","ids":{"openalex":"https://openalex.org/W4385577069","doi":"https://doi.org/10.1109/tsp59544.2023.10197832"},"language":"en","primary_location":{"id":"doi:10.1109/tsp59544.2023.10197832","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp59544.2023.10197832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 46th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092597016","display_name":"Selin Koles","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selin Koles","raw_affiliation_strings":["Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","institution_ids":["https://openalex.org/I44925452"]},{"raw_affiliation_string":"Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109628265","display_name":"S. Karaka\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selami Karakas","raw_affiliation_strings":["Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","institution_ids":["https://openalex.org/I44925452"]},{"raw_affiliation_string":"Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077950461","display_name":"Alain P. Ndigande","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alain P. Ndigande","raw_affiliation_strings":["Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","institution_ids":["https://openalex.org/I44925452"]},{"raw_affiliation_string":"Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033116884","display_name":"Sedat \u00d6zer","orcid":"https://orcid.org/0000-0002-2069-3807"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sedat Ozer","raw_affiliation_strings":["Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University,Ozer Lab,Department of Computer Science,Istanbul,Turkiye","institution_ids":["https://openalex.org/I44925452"]},{"raw_affiliation_string":"Department of Computer Science, Ozer Lab, Ozyegin University, Istanbul, Turkiye","institution_ids":["https://openalex.org/I44925452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09589439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9923999905586243,"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":0.9923999905586243,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9901999831199646,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989300012588501,"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/segmentation","display_name":"Segmentation","score":0.7773726582527161},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6686603426933289},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.5752047300338745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5555887818336487},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5228629112243652},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.508197546005249},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4947161376476288},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4942519962787628},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49280646443367004},{"id":"https://openalex.org/keywords/data-loss","display_name":"Data loss","score":0.4681532680988312},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4117549657821655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40072691440582275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3750327527523041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3674602508544922},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23852300643920898},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.063143789768219}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7773726582527161},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6686603426933289},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.5752047300338745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5555887818336487},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5228629112243652},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.508197546005249},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4947161376476288},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4942519962787628},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49280646443367004},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.4681532680988312},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4117549657821655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40072691440582275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3750327527523041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3674602508544922},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23852300643920898},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.063143789768219},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.1109/tsp59544.2023.10197832","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp59544.2023.10197832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 46th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/9062","is_oa":false,"landing_page_url":"http://hdl.handle.net/10679/9062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1536729381","https://openalex.org/W1861492603","https://openalex.org/W1999478155","https://openalex.org/W2046033161","https://openalex.org/W2734349601","https://openalex.org/W2993182889","https://openalex.org/W3016473572","https://openalex.org/W3034826836","https://openalex.org/W3038091703","https://openalex.org/W3047032303","https://openalex.org/W3106546328","https://openalex.org/W3112139896","https://openalex.org/W3180169285","https://openalex.org/W3183696860","https://openalex.org/W3197607112","https://openalex.org/W3198354640","https://openalex.org/W4206434837","https://openalex.org/W4221078376","https://openalex.org/W4283655870","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W4200334192","https://openalex.org/W3082625452","https://openalex.org/W4313270457"],"abstract_inverted_index":{"In":[0,22,72],"this":[1],"paper,":[2],"we":[3,24,53,75],"study":[4,25],"and":[5,42],"analyze":[6],"the":[7,26,47,60,86,94],"performance":[8,88],"of":[9,65,81,89,93],"various":[10,44],"loss":[11,27,57,62,83,108],"functions":[12,58,84],"on":[13,100],"a":[14,78],"recently":[15],"proposed":[16],"real-time":[17,69],"instance":[18],"segmentation":[19,70,87],"algorithm,":[20],"YOLACT++.":[21],"particular,":[23],"functions,":[28],"including":[29],"Huber":[30],"Loss,":[31,41],"Binary":[32],"Cross":[33],"Entropy":[34],"(BCE),":[35],"Mean":[36],"Square":[37],"Error":[38],"(MSE),":[39],"Log-Cosh-Dice":[40],"their":[43],"combinations":[45],"within":[46],"YOLACT++":[48,66,90],"architecture.":[49],"We":[50],"demonstrate":[51],"that":[52,77],"can":[54],"use":[55],"different":[56],"from":[59],"default":[61],"function":[63],"(BCE)":[64],"for":[67],"improved":[68],"results.":[71],"our":[73],"experiments,":[74],"show":[76],"certain":[79],"combination":[80],"two":[82],"improves":[85],"in":[91],"terms":[92],"mean":[95],"Average":[96],"Precision":[97],"(mAP)":[98],"metric":[99],"Cigarettes":[101],"dataset,":[102],"when":[103],"compared":[104],"to":[105],"its":[106],"original":[107],"function.":[109]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}