Abstract: Automatic augmentation methods have recently become a crucial pillar for strong model performance in vision tasks. While existing automatic augmentation methods need to trade off simplicity, ...
@gau-nernst the AugmentationSequential already supports the feature to apply randomly groups of augmentations. The missing feature here is that we don't have defined fixed policies for open-source ...
Is your feature request related to a problem? Please describe. So far you have integration for AutoAugment and RandAugment in the repo as well as some settings that seem to be inspired by ...
TrivialAugment（TA）是一种新的无参数数据增强技术，无需调优即可实现最先进的性能。该方法仅对每个图像应用单一增强，通过均匀采样增强函数和强度，降低了搜索成本，且在多种数据集和模型 ...
TrivialAugment 是一个由 CSDN 公司开发的图像增强算法的开源实现，主要使用 Python 编程语言。该项目旨在提供一种简单但性能卓越的图像增强方法，适用于计算机视觉领域的研究和实际应用。
本文提出一种优化的细粒度图像分类训练方案。通过整合大批量训练、学习率预热、TrivialAugment增强、余弦退火、标签平滑、随机擦除及EMA等现代训练技术，显著提升了ResNet-50等通用骨干网络在 ...
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