โโObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
The authors suggest ObjectAug perform object-level augmentation for semantic image segmentation.
This approach has the following steps:
- decouple the image into individual objects and the background using the semantic labels;
- augment each object separately;
- restore the black area brought by object augmentation using image inpainting;
- assemble the augmented objects and background;
Thanks to the fact that objects are separate, we can apply different augmentations to different categories and combine them with image-level augmentation methods.
Paper: https://arxiv.org/abs/2102.00221
#deeplearning #augmentation #imageinpainting #imagesegmentation
The authors suggest ObjectAug perform object-level augmentation for semantic image segmentation.
This approach has the following steps:
- decouple the image into individual objects and the background using the semantic labels;
- augment each object separately;
- restore the black area brought by object augmentation using image inpainting;
- assemble the augmented objects and background;
Thanks to the fact that objects are separate, we can apply different augmentations to different categories and combine them with image-level augmentation methods.
Paper: https://arxiv.org/abs/2102.00221
#deeplearning #augmentation #imageinpainting #imagesegmentation