{"id":"https://openalex.org/W4312702757","doi":"https://doi.org/10.1109/tim.2022.3218547","title":"Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects","display_name":"Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312702757","doi":"https://doi.org/10.1109/tim.2022.3218547"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3218547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3218547","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5060665015","display_name":"Xiaoheng Jiang","orcid":"https://orcid.org/0000-0002-5770-0417"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoheng Jiang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5770-0417","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101527301","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0002-2683-8878"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2683-8878","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015452096","display_name":"Yang Lu","orcid":"https://orcid.org/0000-0002-2564-1993"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2564-1993","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659350","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0002-9943-5041"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Wang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9943-5041","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103269332","display_name":"Shuai Guo","orcid":"https://orcid.org/0000-0002-3311-5002"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Guo","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3311-5002","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1856-9564","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086887025","display_name":"Yanwei Pang","orcid":"https://orcid.org/0000-0001-6670-3727"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Pang","raw_affiliation_strings":["School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6670-3727","affiliations":[{"raw_affiliation_string":"School of Electrical Automation and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053316728","display_name":"Jianwei Niu","orcid":"https://orcid.org/0000-0003-3946-5107"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Niu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","Hangzhou Innovation Institute of Beihang University, Hangzhou, China","School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3946-5107","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Hangzhou Innovation Institute of Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6885-3451","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"Ministry of Education, Engineering Research Center of Intelligent Swarm Systems, National Supercomputing Center in Zhengzhou, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5875,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90085102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9907000064849854,"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/computer-science","display_name":"Computer science","score":0.7404110431671143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.716627836227417},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.688921332359314},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6606738567352295},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6584391593933105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5745449066162109},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5665532350540161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4750271439552307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4406464993953705},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.43273138999938965},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42750853300094604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.415442556142807},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41093218326568604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14639252424240112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404110431671143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.716627836227417},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.688921332359314},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6606738567352295},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6584391593933105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5745449066162109},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5665532350540161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4750271439552307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4406464993953705},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.43273138999938965},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42750853300094604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.415442556142807},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41093218326568604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14639252424240112},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3218547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3218547","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1584137483","display_name":null,"funder_award_id":"2021YFB3301504","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2564714541","display_name":null,"funder_award_id":"62102370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3190260380","display_name":null,"funder_award_id":"21A520002","funder_id":"https://openalex.org/F4320329830","funder_display_name":"Henan Province Foundation for University Key Teacher"},{"id":"https://openalex.org/G4427951240","display_name":null,"funder_award_id":"21A520040","funder_id":"https://openalex.org/F4320329830","funder_display_name":"Henan Province Foundation for University Key Teacher"},{"id":"https://openalex.org/G5108235030","display_name":null,"funder_award_id":"61903341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7146891638","display_name":null,"funder_award_id":"62106232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7272499820","display_name":null,"funder_award_id":"U21B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7436244057","display_name":null,"funder_award_id":"2020-Y4-A-020","funder_id":"https://openalex.org/F4320321125","funder_display_name":"Beihang University"},{"id":"https://openalex.org/G8306412014","display_name":null,"funder_award_id":"62172371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8425035771","display_name":null,"funder_award_id":"2021TQ0301","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8606100586","display_name":null,"funder_award_id":"62036010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320329830","display_name":"Henan Province Foundation for University Key Teacher","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1982075130","https://openalex.org/W1994922096","https://openalex.org/W1995905848","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2132083787","https://openalex.org/W2141339768","https://openalex.org/W2160613239","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2560311620","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2884563051","https://openalex.org/W2884585870","https://openalex.org/W2888407265","https://openalex.org/W2899771611","https://openalex.org/W2928165649","https://openalex.org/W2944303778","https://openalex.org/W2961348656","https://openalex.org/W2963299740","https://openalex.org/W2963446712","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2970577241","https://openalex.org/W3000247513","https://openalex.org/W3015187397","https://openalex.org/W3035487542","https://openalex.org/W3038952158","https://openalex.org/W3098389804","https://openalex.org/W3100180829","https://openalex.org/W3101078431","https://openalex.org/W3108849448","https://openalex.org/W3109623941","https://openalex.org/W3113270537","https://openalex.org/W3113755791","https://openalex.org/W3124459155","https://openalex.org/W3127479494","https://openalex.org/W3132936317","https://openalex.org/W3172752666","https://openalex.org/W3173370190","https://openalex.org/W3175849542","https://openalex.org/W3179888767","https://openalex.org/W3190335749","https://openalex.org/W3193915232","https://openalex.org/W4206670089","https://openalex.org/W4297810817","https://openalex.org/W4313170506","https://openalex.org/W6631190155","https://openalex.org/W6730044627","https://openalex.org/W6739696289","https://openalex.org/W6753038380","https://openalex.org/W6753412334","https://openalex.org/W6756040250","https://openalex.org/W6785144969"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Surface":[0],"defect":[1,21,37,97,170,241],"inspection":[2,22],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,229],"the":[8,68,124,164,188,194],"process":[9],"of":[10,33,63,137,178,209,244],"industrial":[11],"manufacture":[12],"and":[13,44,88,99,193,219],"production.":[14],"Though":[15],"Convolutional":[16],"Neural":[17],"Network":[18],"(CNN)":[19],"based":[20,66],"methods":[23],"have":[24],"made":[25],"huge":[26],"leaps,":[27],"they":[28],"still":[29],"confront":[30],"a":[31,53,74,117,145,176,206,239],"lot":[32],"challenges":[34],"such":[35],"as":[36,185],"scale":[38],"variation,":[39],"complex":[40],"background,":[41],"low":[42],"contrast,":[43],"so":[45],"on.":[46],"To":[47],"address":[48],"these":[49],"issues,":[50],"we":[51],"propose":[52],"joint":[54,75,147],"attention-guided":[55,76],"feature":[56,77,104,158,191],"fusion":[57,78],"network":[58],"(JAFFNet)":[59],"for":[60,109],"saliency":[61],"detection":[62,242],"surface":[64],"defects":[65,136],"on":[67,215],"encoder-decoder":[69],"network.":[70],"JAFFNet":[71,115],"mainly":[72,143],"incorporates":[73],"(JAFF)":[79],"module":[80,93,122,142,174],"into":[81],"decoding":[82],"stages":[83],"to":[84,95,126,156,169],"adaptively":[85],"fuse":[86],"low-level":[87],"high-level":[89,153],"features.":[90,171],"The":[91,140,160,172,197],"JAFF":[92,141],"learns":[94],"emphasize":[96],"features":[98,128,155,200],"suppress":[100],"background":[101],"noise":[102],"during":[103],"fusion,":[105],"which":[106,133],"is":[107],"beneficial":[108],"detecting":[110],"low-contrast":[111],"defects.":[112],"In":[113],"addition,":[114],"introduces":[116],"dense":[118],"receptive":[119,210],"field":[120],"(DRF)":[121],"following":[123],"encoder":[125],"capture":[127,201],"with":[129,182,205,231],"rich":[130,202],"context":[131,203],"information,":[132],"helps":[134],"detect":[135],"different":[138],"scales.":[139],"utilizes":[144,175],"learned":[146],"channel-spatial":[148],"attention":[149,161,168],"map":[150,162],"provided":[151],"by":[152],"semantic":[154],"guide":[157],"fusion.":[159],"makes":[163],"model":[165],"pay":[166],"more":[167],"DRF":[173,199],"sequence":[177],"multi-receptive-field":[179],"(MRF)":[180],"units":[181],"each":[183],"taking":[184],"inputs":[186],"all":[187],"preceding":[189],"MRF":[190],"maps":[192],"original":[195],"input.":[196],"obtained":[198],"information":[204],"large":[207],"range":[208],"fields.":[211],"Extensive":[212],"experiments":[213],"conducted":[214],"SD-saliency-900,":[216],"Magnetic":[217],"tile,":[218],"DAGM":[220],"2007":[221],"indicate":[222],"that":[223],"our":[224,236],"method":[225,237],"achieves":[226],"promising":[227],"performance":[228],"comparison":[230],"other":[232],"state-of-the-art":[233],"methods.":[234],"Meanwhile,":[235],"reaches":[238],"real-time":[240],"speed":[243],"66":[245],"FPS.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2025-10-10T00:00:00"}