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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…
cs.CV2023
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…