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Found 4 papers, 2 papers with code
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization
Our convergence analysis and experiments prove this is a better way to improve convergence stability and rate in ZO-SGD.
TDeLTA: A Light-weight and Robust Table Detection Method based on Learning Text Arrangement
The diversity of tables makes table detection a great challenge, leading to existing models becoming more tedious and complex.
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
However, existing ADA methods fail to account for the confounder properly, which is the root cause of the source data distribution that differs from the target domains.
Foreground and Text-lines Aware Document Image Rectification
In this paper, we focus on the foreground and text-line regions of distorted paper and proposes a global and local fusion method to improve the rectification effect of distorted images and enhance the readability of document images.
