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Abstract: Label smoothing is an effective regularization tool for deep neural networks (DNNs), which generates soft labels by applying a weighted average between the uniform distribution and the hard ...

Abstract: The purpose of texture smoothing is to preserve the prominent structure in the image while smoothing the salient texture. However, the existing methods are difficult to achieve a ...

This repository contains the implementation of the paper Smooth Loss Functions for Deep Top-k Classification in pytorch. If you use this work for your research, please cite the paper: ...

This is the primary documentation for the MoveIt project. We strongly encourage you to help improve MoveIt's documentation. Please consider helping improve the tutorials, port old ones from ROS 1, and ...