Westlake-AI/Awesome-Mixup
[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)
This is a curated collection of Mixup augmentation techniques used in machine learning for improving model generalization and preventing overfitting. It provides an overview of various data-centric methods, including their implementations in PyTorch, for tasks like image classification, object detection, and natural language processing. Machine learning researchers, data scientists, and AI practitioners looking to enhance their model training strategies would find this resource valuable.
164 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or practitioner exploring different data augmentation strategies to improve the robustness and performance of your models across various data types and learning paradigms.
Not ideal if you are looking for a plug-and-play software tool or library for direct application without understanding the underlying research or implementation details.
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Oct 14, 2024
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