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Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.

, , , , and . CoRR, (2019)

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All-optical complex field imaging using diffractive processors., , , , , and . CoRR, (2024)Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor., , , , , , , , , and 7 other author(s). CoRR, (2024)Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks., , , , and . CoRR, (2023)Super-resolution image display using diffractive decoders., , , , , , , and . CoRR, (2022)Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy., , , , and . CoRR, (2019)Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning., , , , , , , , , and 7 other author(s). CoRR, (2021)Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer., , , , , , and . CoRR, (2023)Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network., , , and . CoRR, (2023)Virtual histological staining of unlabeled autopsy tissue., , , , , , , , , and 5 other author(s). CoRR, (2023)Temporal Pulses Driven Spiking Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving., , , , , and . ICPR, page 6359-6366. IEEE, (2020)