TrustMAE: A noise-resilient defect classification framework using memory-augmented auto-encoders with trust regions

Daniel Stanley Tan, Y.-C. Chen, T.P.-C. Chen, W.-C. Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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Engineering & Materials Science