Search Results for author:
Found 2 papers, 0 papers with code
CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing
The feature extraction-net acts as a encoder, and is used for extracting haze features.
How to improve the interpretability of kernel learning
In this paper, a quantitative index of the interpretability is proposed and its rationality is proved, and equilibrium problem between the interpretability and the generalization performance is analyzed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
