{"id":14864,"date":"2024-05-01T10:34:00","date_gmt":"2024-05-01T09:34:00","guid":{"rendered":"https:\/\/iesinspection.com\/?p=14864"},"modified":"2024-05-01T10:34:00","modified_gmt":"2024-05-01T09:34:00","slug":"contextmix-a-context-aware-data-augmentation-method-for-industrial-visual-inspection","status":"publish","type":"post","link":"https:\/\/iesinspection.com\/?p=14864","title":{"rendered":"ContextMix: A Context-aware Data Augmentation Method for Industrial Visual Inspection"},"content":{"rendered":"<p>Abstract\n<\/p>\n<p \/>\n<p>\nWhile deep neural networks have achieved remarkable performance, data augmentation has emerged as a crucial strategy to mitigate overfitting and enhance network performance. These techniques hold particular significance in industrial manufacturing contexts. Recently, image mixing-based methods have been introduced, exhibiting improved performance on public benchmark datasets. However, their application to industrial tasks remains challenging. The manufacturing environment generates massive&#013;<br \/>\nSource: NDT<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract While deep neural networks have achieved remarkable performance, data augmentation has emerged as a crucial strategy to mitigate overfitting and enhance network performance. These techniques hold particular significance in industrial manufacturing contexts. Recently, image mixing-based methods have been introduced, exhibiting improved performance on public benchmark datasets. However, their application to industrial tasks remains challenging. The [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"false","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[45],"_links":{"self":[{"href":"https:\/\/iesinspection.com\/index.php?rest_route=\/wp\/v2\/posts\/14864"}],"collection":[{"href":"https:\/\/iesinspection.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/iesinspection.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/iesinspection.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/iesinspection.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14864"}],"version-history":[{"count":0,"href":"https:\/\/iesinspection.com\/index.php?rest_route=\/wp\/v2\/posts\/14864\/revisions"}],"wp:attachment":[{"href":"https:\/\/iesinspection.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14864"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/iesinspection.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14864"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/iesinspection.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}