Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...
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Abstract: Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled with a ...
"**This notebook is an exercise in the [Data Cleaning](https://www.kaggle.com/learn/data-cleaning) course. You can reference the tutorial at [this link](https://www ...
Ambient lighting normalization is an important computer vision task that aims to remove shadows and standardize illumination across an entire image. While previous approaches have primarily focused on ...
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