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Found 3 papers, 1 papers with code
Robust Scene Inference under Noise-Blur Dual Corruptions
This creates a trade-off between these two kinds of image degradations: motion blur (due to long exposure) vs. noise (due to short exposure), also referred as a dual image corruption pair in this paper.
Photon-Starved Scene Inference using Single Photon Cameras
The key idea is that having a spectrum of different brightness levels during training enables effective guidance, and increases robustness to shot noise even in extreme noise cases.
Attention-based Ensemble for Deep Metric Learning
Deep metric learning aims to learn an embedding function, modeled as deep neural network.
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