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Found 4 papers, 4 papers with code
The Entropy Enigma: Success and Failure of Entropy Minimization
After many steps of optimization, EM makes the model embed test images far away from the embeddings of training images, which results in a degradation of accuracy.
RDumb: A simple approach that questions our progress in continual test-time adaptation
Test-Time Adaptation (TTA) allows to update pre-trained models to changing data distributions at deployment time.
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Since 2014 transfer learning has become the key driver for the improvement of spatial saliency prediction; however, with stagnant progress in the last 3-5 years.
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Thus, in the above example, we can create, for every person without glasses a version with the glasses observed in any face image.
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