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
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection0
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)0
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented DataCode0
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation0
MVTrans: Multi-View Perception of Transparent Objects0
LIQUID: A Framework for List Question Answering Dataset GenerationCode1
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors0
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