Soft Augmentation improves model occlusion robustness by achieving up to more than 4× Top-1 accuracy boost on heavily occluded images.
Nov 9, 2022 · We demonstrate that soft targets allow for more aggressive data augmentation, offer more robust performance boosts, work with other augmentation policies.
We propose soft augmentation (SA) where the learning target softens non-linearly as a function of the degree of the transform applied to the sample.
Soft Augmentation improves model occlusion robustness by achieving up to more than 4 × \>4\times 4 × Top-1 accuracy boost on heavily occluded images.
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Nov 9, 2022 · We demonstrate that soft targets allow for more aggressive data augmentation, offer more robust performance boosts, work with other augmentation ...
Top 5 Image Augmentation Tools for Computer Vision: A Guide
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Jun 5, 2024 · Imgaug is a Python library specifically created for image augmentation. It offers a wide range of powerful and flexible augmentation techniques.
This includes augmentations such as geometric and color transformations, random erasing, adversarial training, and neural style transfer.
Missing: Soft | Show results with:Soft
We propose HSMix, a novel approach to local image editing data augmentation involving hard and soft mixing for medical semantic segmentation.
Aug 23, 2022 · Data Augmentation is the most widely used technique in a deep learning project while working with image data.
Missing: Soft | Show results with:Soft
This example shows how you can perform common kinds of randomized image augmentation such as geometric transformations, cropping, and adding noise.