Eigentasks order noisy optical readout features by resolvability under noise, producing low-dimensional representations that improve few-shot classification by up to 10 percentage points over standard baselines in photon-limited regimes.
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Trained correlated-photon illumination paired with a Transformer backend improves object classification accuracy by up to 15 percentage points in photon-starved noisy imaging.
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Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout
Eigentasks order noisy optical readout features by resolvability under noise, producing low-dimensional representations that improve few-shot classification by up to 10 percentage points over standard baselines in photon-limited regimes.
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Ultra-low-light computer vision using trained photon correlations
Trained correlated-photon illumination paired with a Transformer backend improves object classification accuracy by up to 15 percentage points in photon-starved noisy imaging.