SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 241250 of 308 papers

TitleStatusHype
Towards Realistic Underwater Dataset Generation and Color RestorationCode0
Generative Adversarial Networks for anonymous Acneic face dataset generation0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing0
SDW-ASL: A Dynamic System to Generate Large Scale Dataset for Continuous American Sign Language0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning0
A Framework for Large Scale Synthetic Graph Dataset Generation0
Transfer learning for self-supervised, blind-spot seismic denoising0
Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example0
Conversational QA Dataset Generation with Answer Revision0
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