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Found 5 papers, 2 papers with code
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
We find that imbalanced tasks significantly challenge the capability of models to control the trade-off between stability and plasticity from the perspective of recent prompt-based continual learning methods.
A soft nearest-neighbor framework for continual semi-supervised learning
Despite significant advances, the performance of state-of-the-art continual learning approaches hinges on the unrealistic scenario of fully labeled data.
Expression-preserving face frontalization improves visually assisted speech processing
The method alternates between the estimation of (i)~the rigid transformation (scale, rotation, and translation) and (ii)~the non-rigid deformation between an arbitrarily-viewed face and a face model.
The impact of removing head movements on audio-visual speech enhancement
This paper investigates the impact of head movements on audio-visual speech enhancement (AVSE).
Face Frontalization Based on Robustly Fitting a Deformable Shape Model to 3D Landmarks
We propose to model inliers and outliers with the generalized Student's t-probability distribution function, a heavy-tailed distribution that is immune to non-Gaussian errors in the data.
