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 271280 of 308 papers

TitleStatusHype
Synthetic Dataset Generation of Driver TelematicsCode0
Do Transformers Understand Polynomial Simplification?0
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets0
Exploration of Cross-lingual Summarization for Kannada-EnglishLanguage Pair0
MK-SQuIT: Synthesizing Questions using Iterative Template-fillingCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi0
Image Generation for Efficient Neural Network Training in Autonomous Drone RacingCode1
Synthetic Dataset Generation with Itemset-Based Generative Models0
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