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Found 3 papers, 1 papers with code
Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus
Addressing the challenge of data scarcity in industrial domains, transfer learning emerges as a pivotal paradigm.
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
However, related research enhanced the network models by applying TL without considering the domain similarity among datasets, the data long-tailedness of a source dataset, and mainly used linear transformations to mitigate the lack of samples.
Defocused images removal of axial overlapping scattering particles by using three-dimensional nonlinear diffusion based on digital holography
We propose a three-dimensional nonlinear diffusion method to implement the similar autofocusing function of multiple micro-objects and simultaneously remove the defocused images, which can distinguish the locations of certain sized scattering particles that are overlapping along z-axis.
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