CAT-EDNet: Cross-Attention Transformer-Based Encoder–Decoder Network for Salient Defect Detection of Strip Steel Surface
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DOI: 10.1109/tim.2022.3165270
Abstract: The morphologies of various surface defects on strip steel suffer from oil stain, water drops, steel textures, and erratic illumination. It is still challenging to recognize defect boundary precisely from cluttered backgrounds. This article emphasizes… read more here.
Keywords: ednet; encoder decoder; cross attention; steel ... See more keywords