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Synthetic two-dimensional data and MNIST digits
The dataset used in the experiments with the synthetic two-dimensional data and the MNIST digits. -
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instan...
MosaicFusion: A simple yet effective diffusion-based data augmentation approach for large vocabulary instance segmentation. -
Contextual augmentation: Data augmentation by words with paradigmatic relations
Contextual augmentation: Data augmentation by words with paradigmatic relations. -
Boomerang: Local sampling on image manifolds using diffusion models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for data anonymization, data augmentation, and image perceptual quality... -
Dirty Cityscapes
A dataset of 10k images with artificially generated soiling patterns, used for training and testing the soiling detection model. -
Dirty WoodScape
A companion dataset to the WoodScape dataset, containing 10k images with artificially generated soiling patterns. -
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
Face datasets are widely used in face recognition tasks, but they are often limited by their size and quality. This paper proposes a method for generating photo-realistic... -
Dataset for Image-to-Image Translation for Semantic Segmentation
The dataset used for the experiments with the proposed approach to augment image data for semantic segmentation networks by applying image-to-image translation with both, a... -
Mono-ViFI: A Unified Framework for Self-supervised Monocular Depth Estimation
Self-supervised monocular depth estimation has gathered no-table interest since it can liberate training from dependency on depth annotations. In monocular video training case,... -
SCD Datasets
A dataset containing 520 images from CPLC as the carton stacking skeleton datasets, and 269, 51, and 23 images from FM as the foreground texture datasets.
