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Towards Theoretical Understandings of Self-Consuming Generative Models
This paper tackles the emerging challenge of training generative models within a self-consuming loop, wherein successive generations of models are recursively trained on mixtures of real and synthetic data from previous generations.
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding
Although the original FAN model achieves very high out-of-sample performance on the original CK++ videos, it does not perform so well on hidden emotions videos.
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