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Found 5 papers, 1 papers with code
Hypothesis-Driven Deep Learning for Out of Distribution Detection
Given a trained DNN and some input, we first feed the input through the DNN and compute an ensemble of OoD metrics, which we term latent responses.
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
To this end, we present a learnable optical compression-decompression framework that learns content-specific features.
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Since the late 16th century, scientists have continuously innovated and developed new microscope types for various applications.
Study of waveguide background at visible wavelengths for on-chip nanoscopy
The localization precision at 640 nm was very similar for both the materials.
Super-Resolution
Optics
Object detection neural network improves Fourier ptychography reconstruction
Intriguingly, we find that conventionally beneficial smoothing and filtering of raw data is counterproductive in this type of application.
