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 201210 of 308 papers

TitleStatusHype
Synthetic Dataset Generation with Itemset-Based Generative Models0
Synthetic Datasets for Autonomous Driving: A Survey0
Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing0
Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes0
Technical report of a DMD-based Characterization Method for Vision Sensors0
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models0
Through Fog High-Resolution Imaging Using Millimeter Wave Radar0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets0
Towards Real-World Category-level Articulation Pose Estimation0
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