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Found 3 papers, 2 papers with code
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
In this paper, we present a surprisingly simple yet highly effective method to mitigate this limitation: using pure noise images as additional training data.
Ranked #1 on
Long-tail Learning
on CelebA-5
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography
We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography.
Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players
A key step in the proposed framework is the construction of an FFDD dissimilarity measure for sub-voxel alignment of fiber bundles, based on the fast marching method (FMM).
