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 231240 of 308 papers

TitleStatusHype
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
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
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)0
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
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors0
HandsOff: Labeled Dataset Generation With No Additional Human Annotations0
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds0
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