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 211220 of 308 papers

TitleStatusHype
Training dataset generation for bridge game registration0
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation0
Transfer learning for self-supervised, blind-spot seismic denoising0
Unbiased General Annotated Dataset Generation0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution0
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering0
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation0
Unsupervised Multi-label Dataset Generation from Web Data0
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation0
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA0
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