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Found 6 papers, 0 papers with code
Optimal Transport with Cyclic Symmetry
On the basis of this reduction, our algorithms solve the small optimization problem instead of the original OT.
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
This paper addresses the tradeoff between standard accuracy on clean examples and robustness against adversarial examples in deep neural networks (DNNs).
Bilateral Video Magnification Filter
Eulerian video magnification (EVM) has progressed to magnify subtle motions with a target frequency even under the presence of large motions of objects.
Image Enhanced Rotation Prediction for Self-Supervised Learning
The rotation prediction (Rotation) is a simple pretext-task for self-supervised learning (SSL), where models learn useful representations for target vision tasks by solving pretext-tasks.
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution
On the basis of our observation that temporal distribution of meaningful subtle changes more clearly indicates anisotropic diffusion than that of non-meaningful ones, we used FA to design a fractional anisotropic filter that passes only meaningful subtle changes.
Jerk-Aware Video Acceleration Magnification
In this paper, we present a novel use of jerk to make the acceleration method robust to quick large motions.
