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Found 2 papers, 1 papers with code
ImageNet Pre-training also Transfers Non-Robustness
ImageNet pre-training has enabled state-of-the-art results on many tasks.
Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal
The robust principal component analysis (RPCA), which aims to estimate underlying low-rank and sparse structures from the degraded observation data, has found wide applications in computer vision.
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