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Pseudo defect guided meta calibration for few shot industrial defect segmentation
Abstract Few-shot industrial defect segmentation aims to localize unseen defects from only a few defect-free reference images, but remains challenging because no positive anomaly examples are available and defects are often subtle, irregular, and embedded in complex textures. We propose PDMCNet, a Pseudo-Defect Guided Meta-Calibration Network for normal-reference few-shot industrial defect segmentation.
Synergistic Effect of Defects Passivation and Energy Level Alignment Realizing P3HT‐Based High‐Efficiency CsPbI3 Perovskite Solar Cells
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202402910-sup-0001-SuppMat.docx7.5 MB Supporting Information References 1, , Adv. Mater. 2019, 31, 1803019. 2, , , , , , , Adv. Funct. Mater. 2023, 2307471. 3, , , , , , , , , , , , , , , Small 2020, 16, 2001417. 4, , , , , , , , , , , , , Joule 2024, 8, 1691. 5, , , , Adv. Energy Mater. 2021, 11, 2100672. 6, , , , , , Energy Environ. Sci. 2022, 15, 413.
MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation
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