Learning From Synthetic Images via Active Pseudo-Labeling
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2989100
Abstract: Synthetic visual data refers to the data automatically rendered by the mature computer graphic algorithms. With the rapid development of these techniques, we can now collect photo-realistic synthetic images with accurate pixel-level annotations without much… read more here.
Keywords: learning synthetic; pseudo; pseudo labeling; synthetic images ... See more keywords
An Information Theoretic Approach to Symbolic Learning in Synthetic Languages
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24020259
Abstract: An important aspect of using entropy-based models and proposed “synthetic languages”, is the seemingly simple task of knowing how to identify the probabilistic symbols. If the system has discrete features, then this task may be… read more here.
Keywords: synthetic languages; information theoretic; theoretic approach; learning synthetic ... See more keywords