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 171180 of 308 papers

TitleStatusHype
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems0
A Framework for Large Scale Synthetic Graph Dataset Generation0
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets0
Low-Biased General Annotated Dataset Generation0
LSD3K: A Benchmark for Smoke Removal from Laparoscopic Surgery Images0
Accelerating PDE Data Generation via Differential Operator Action in Solution Space0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing0
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi0
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World0
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