{"id":"https://openalex.org/W3104857527","doi":"https://doi.org/10.1109/crc51253.2020.9253467","title":"Joints Steering Gear Detection Based on Semantic Segmentation","display_name":"Joints Steering Gear Detection Based on Semantic Segmentation","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3104857527","doi":"https://doi.org/10.1109/crc51253.2020.9253467","mag":"3104857527"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5101886864","display_name":"Zixin Xu","orcid":"https://orcid.org/0000-0002-9421-0038"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zixin Xu","raw_affiliation_strings":["Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028317852","display_name":"Tongwei Lu","orcid":"https://orcid.org/0000-0002-3900-6456"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Lu","raw_affiliation_strings":["Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101886864"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20202346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"521","issue":null,"first_page":"196","last_page":"201"},"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":0.9901999831199646,"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":0.9901999831199646,"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"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9830999970436096,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9818999767303467,"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/upsampling","display_name":"Upsampling","score":0.7609824538230896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140181064605713},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.686600923538208},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.633849024772644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5493454933166504},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.47884583473205566},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4757244884967804},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4510872960090637},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41860267519950867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38660603761672974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37911325693130493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24017247557640076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16270315647125244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14773306250572205}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7609824538230896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140181064605713},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.686600923538208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.633849024772644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493454933166504},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.47884583473205566},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4757244884967804},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4510872960090637},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41860267519950867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38660603761672974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37911325693130493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24017247557640076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16270315647125244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14773306250572205},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2100588357","https://openalex.org/W2155632266","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2622826443","https://openalex.org/W2919115771","https://openalex.org/W2948210185","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W2964309882","https://openalex.org/W2970206392","https://openalex.org/W2992308087","https://openalex.org/W2998508940","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6762226699","https://openalex.org/W6763342845"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,12,57,64,72,104,109,113,131],"problem":[3,133],"of":[4,7,15,68,134],"inaccurate":[5],"detection":[6,23,132],"joints":[8,20,135],"steering":[9,21,136],"gears":[10],"in":[11,85],"industrialized":[13],"inspection":[14],"automobiles,":[16],"a":[17,127],"method":[18,122],"for":[19,130],"gear":[22,137],"based":[24],"on":[25],"image":[26],"semantic":[27,82],"segmentation":[28,83],"is":[29,46,75,123],"proposed.":[30],"In":[31,51],"this":[32,36,121],"method,":[33],"considering":[34],"that":[35,120],"learning":[37],"tasks":[38],"are":[39],"usually":[40],"easy":[41],"to":[42,48,80,91,107,111],"overfit,":[43],"appropriate":[44],"regularization":[45],"needed":[47],"generalize":[49],"well.":[50],"data":[52,70],"augmentation,":[53],"we":[54,87,97],"randomly":[55,62],"cover":[56],"input":[58],"square":[59,66],"area":[60,73],"and":[61,102,125],"fill":[63],"corresponding":[65],"areas":[67],"other":[69],"into":[71],"which":[74],"covered.":[76],"Adopting":[77],"encoder-decoder":[78],"structure":[79],"obtain":[81],"graph,":[84],"downsampling":[86],"use":[88,99],"dilated":[89],"convolution":[90],"increase":[92],"feature":[93],"map":[94],"size.":[95],"And":[96],"also":[98],"label":[100],"smoothing":[101],"adjust":[103],"loss":[105],"function":[106],"improve":[108],"ability":[110],"predict":[112],"test":[114],"set":[115],"more":[116],"accurately.":[117],"Experiments":[118],"show":[119],"effective":[124],"has":[126],"good":[128],"generalization":[129],"grooves.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}