Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382051255> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4382051255 endingPage "102899" @default.
- W4382051255 startingPage "102899" @default.
- W4382051255 abstract "Radiographic non-destructive evaluation (NDE) is an essential technique for understanding defects in welds. These radiographs require certified workers to interpret them to identify the presence of defects. Recent deep learning techniques, primarily semantic segmentation, could help welding defect detection and classification. Using image segmentation technology to obtain performance evaluations of the presence, location, and size of defects can improve the stability of defect evaluations while saving a great deal of time. However, supervised instance segmentation requires many manually implemented pixel-level annotations, dramatically increasing the difficulty and cost of achieving non-destructive evaluations. In our work, the weakly supervised semantic segmentation based on the Cut-Cascade RCNN model is used to classify defects. The cascade RCNN obtains the region of interest (ROI) and classification information. In the ROI, adaptive threshold segmentation of the defects is implemented, and the image is filtered to obtain the mask information. The accuracy of using the Cut-Cascade RCNN model in our x-ray dataset size can reach 90.15%." @default.
- W4382051255 created "2023-06-27" @default.
- W4382051255 creator A5005622032 @default.
- W4382051255 creator A5019337084 @default.
- W4382051255 creator A5019815954 @default.
- W4382051255 creator A5019869734 @default.
- W4382051255 creator A5026951143 @default.
- W4382051255 creator A5039024839 @default.
- W4382051255 creator A5045782242 @default.
- W4382051255 creator A5056101043 @default.
- W4382051255 creator A5064527448 @default.
- W4382051255 creator A5074473515 @default.
- W4382051255 creator A5078680165 @default.
- W4382051255 date "2023-09-01" @default.
- W4382051255 modified "2023-10-01" @default.
- W4382051255 title "Welding defects classification by weakly supervised semantic segmentation" @default.
- W4382051255 cites W2042933440 @default.
- W4382051255 cites W2167253865 @default.
- W4382051255 cites W2549196305 @default.
- W4382051255 cites W2749684264 @default.
- W4382051255 cites W2913074553 @default.
- W4382051255 cites W2945034008 @default.
- W4382051255 cites W2963698633 @default.
- W4382051255 cites W3081286407 @default.
- W4382051255 cites W3111542965 @default.
- W4382051255 cites W3120333023 @default.
- W4382051255 cites W3126924608 @default.
- W4382051255 cites W3132708544 @default.
- W4382051255 cites W3194222902 @default.
- W4382051255 cites W4200475927 @default.
- W4382051255 cites W4213338244 @default.
- W4382051255 cites W4312053295 @default.
- W4382051255 cites W4312805004 @default.
- W4382051255 doi "https://doi.org/10.1016/j.ndteint.2023.102899" @default.
- W4382051255 hasPublicationYear "2023" @default.
- W4382051255 type Work @default.
- W4382051255 citedByCount "1" @default.
- W4382051255 countsByYear W43820512552023 @default.
- W4382051255 crossrefType "journal-article" @default.
- W4382051255 hasAuthorship W4382051255A5005622032 @default.
- W4382051255 hasAuthorship W4382051255A5019337084 @default.
- W4382051255 hasAuthorship W4382051255A5019815954 @default.
- W4382051255 hasAuthorship W4382051255A5019869734 @default.
- W4382051255 hasAuthorship W4382051255A5026951143 @default.
- W4382051255 hasAuthorship W4382051255A5039024839 @default.
- W4382051255 hasAuthorship W4382051255A5045782242 @default.
- W4382051255 hasAuthorship W4382051255A5056101043 @default.
- W4382051255 hasAuthorship W4382051255A5064527448 @default.
- W4382051255 hasAuthorship W4382051255A5074473515 @default.
- W4382051255 hasAuthorship W4382051255A5078680165 @default.
- W4382051255 hasConcept C124504099 @default.
- W4382051255 hasConcept C127413603 @default.
- W4382051255 hasConcept C153180895 @default.
- W4382051255 hasConcept C154945302 @default.
- W4382051255 hasConcept C160633673 @default.
- W4382051255 hasConcept C19474535 @default.
- W4382051255 hasConcept C31972630 @default.
- W4382051255 hasConcept C34146451 @default.
- W4382051255 hasConcept C41008148 @default.
- W4382051255 hasConcept C42360764 @default.
- W4382051255 hasConcept C78519656 @default.
- W4382051255 hasConcept C89600930 @default.
- W4382051255 hasConceptScore W4382051255C124504099 @default.
- W4382051255 hasConceptScore W4382051255C127413603 @default.
- W4382051255 hasConceptScore W4382051255C153180895 @default.
- W4382051255 hasConceptScore W4382051255C154945302 @default.
- W4382051255 hasConceptScore W4382051255C160633673 @default.
- W4382051255 hasConceptScore W4382051255C19474535 @default.
- W4382051255 hasConceptScore W4382051255C31972630 @default.
- W4382051255 hasConceptScore W4382051255C34146451 @default.
- W4382051255 hasConceptScore W4382051255C41008148 @default.
- W4382051255 hasConceptScore W4382051255C42360764 @default.
- W4382051255 hasConceptScore W4382051255C78519656 @default.
- W4382051255 hasConceptScore W4382051255C89600930 @default.
- W4382051255 hasLocation W43820512551 @default.
- W4382051255 hasOpenAccess W4382051255 @default.
- W4382051255 hasPrimaryLocation W43820512551 @default.
- W4382051255 hasRelatedWork W121273120 @default.
- W4382051255 hasRelatedWork W1669643531 @default.
- W4382051255 hasRelatedWork W2005437358 @default.
- W4382051255 hasRelatedWork W2008656436 @default.
- W4382051255 hasRelatedWork W2023558673 @default.
- W4382051255 hasRelatedWork W2134924024 @default.
- W4382051255 hasRelatedWork W2337415362 @default.
- W4382051255 hasRelatedWork W2517104666 @default.
- W4382051255 hasRelatedWork W2740820121 @default.
- W4382051255 hasRelatedWork W4312857205 @default.
- W4382051255 hasVolume "138" @default.
- W4382051255 isParatext "false" @default.
- W4382051255 isRetracted "false" @default.
- W4382051255 workType "article" @default.