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 221230 of 308 papers

TitleStatusHype
HandsOff: Labeled Dataset Generation With No Additional Human Annotations0
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds0
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
ProGen: Progressive Zero-shot Dataset Generation via In-context FeedbackCode1
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
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
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