This guide will cover the specifics needed to develop an image segmentation algorithm. To see how compox algorithm should generally be structured, please refer to the algorithms/readme.md file. The ...

Automated lesion segmentation is essential for DR screening, but current deep learning models often lack robustness, ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended ...

Abstract: This paper proposes a model pruning named MPSS for semantic image segmentation networks, so that semantic image segmentation models can be deployed into embedded devices. Most existing model ...

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Abstract: Optimization algorithms play an important role in the training of machine learning models. Gradient-based optimizers such as Adam, RMSprop, and Stochastic Gradient Descent (SGD) are widely ...