Search Results for author:
Found 2 papers, 1 papers with code
Good helper is around you: Attention-driven Masked Image Modeling
Most previous works mask patches of the image randomly, which underutilizes the semantic information that is beneficial to visual representation learning.
Neural networks with trainable matrix activation functions
The training process of neural networks usually optimize weights and bias parameters of linear transformations, while nonlinear activation functions are pre-specified and fixed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
