2 papers
cs.CV2024
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization
Roi Peleg, Yair Smadar, Teddy Lazebnik +1
The performance of deep learning models is critically dependent on sophisticated optimization strategies. While existing optimizers have shown promising results, many rely on first…
cs.CV2024
Recurrent Neural Networks for Still Images
Dmitri, Lvov, Yair Smadar +1
In this paper, we explore the application of Recurrent Neural Network (RNN) for still images. Typically, Convolutional Neural Networks (CNNs) are the prevalent method applied for t…