{"id":"https://openalex.org/W4408565393","doi":"https://doi.org/10.1109/icdmw65004.2024.00009","title":"Structure Aware Loss for Deep Unsupervised Industrial Image Registration","display_name":"Structure Aware Loss for Deep Unsupervised Industrial Image Registration","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408565393","doi":"https://doi.org/10.1109/icdmw65004.2024.00009"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Chinese Academy of Sciences,Research Center on Fictitious Economy and Data Science,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Research Center on Fictitious Economy and Data Science,Beijing,China,100190","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102544136","display_name":"Mengjin Lyu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjin Lyu","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Computer Science and Technology,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Computer Science and Technology,Beijing,China,100190","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013051763","display_name":"Zhiquan Qi","orcid":"https://orcid.org/0000-0001-9289-9110"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Qi","raw_affiliation_strings":["Chinese Academy of Sciences,Research Center on Fictitious Economy and Data Science,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Research Center on Fictitious Economy and Data Science,Beijing,China,100190","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113542097"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29614546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9775000214576721,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9775000214576721,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9750999808311462,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9567999839782715,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7202160954475403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836602091789246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6510262489318848},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5985686182975769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.431857705116272}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7202160954475403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836602091789246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6510262489318848},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5985686182975769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.431857705116272}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw65004.2024.00009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2117228865","https://openalex.org/W2133665775","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2737590896","https://openalex.org/W2963346260","https://openalex.org/W3092879848","https://openalex.org/W3186980293","https://openalex.org/W4289752563","https://openalex.org/W4321793403","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Image":[0],"registration":[1,25,77,100],"is":[2,57],"extensively":[3],"utilized":[4],"in":[5],"industrial":[6,40,82],"applications.":[7],"However,":[8],"specific":[9],"challenges":[10],"inherent":[11],"to":[12,35,84],"these":[13],"environments\u2014such":[14],"as":[15,59],"low":[16],"texture,":[17],"significant":[18],"displacement,":[19],"and":[20,69,79],"poor":[21],"lighting":[22],"conditions\u2014complicate":[23],"the":[24,36,45,86],"process.":[26],"This":[27,42],"paper":[28],"introduces":[29],"a":[30,60],"structure-aware":[31,96],"loss":[32,67],"module":[33,43,97],"tailored":[34],"unique":[37],"characteristics":[38],"of":[39,91],"images.":[41],"promotes":[44],"network\u2019s":[46],"focus":[47],"on":[48],"salient":[49],"regions":[50],"while":[51],"emphasizing":[52],"structural":[53],"features.":[54],"Additionally,":[55],"it":[56],"designed":[58],"plug-in":[61],"component,":[62],"facilitating":[63],"integration":[64],"with":[65],"any":[66],"function":[68],"homography":[70],"estimation":[71],"method.":[72],"We":[73],"develop":[74],"an":[75,81],"unsupervised":[76],"network":[78],"create":[80],"dataset":[83],"evaluate":[85],"module\u2019s":[87],"effectiveness.":[88],"A":[89],"series":[90],"experiments":[92],"demonstrate":[93],"that":[94],"our":[95],"significantly":[98],"enhances":[99],"performance.":[101]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
