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
A Framework for Large Scale Synthetic Graph Dataset Generation0
Transfer learning for self-supervised, blind-spot seismic denoising0
Comparison of synthetic dataset generation methods for medical intervention rooms using medical clothing detection as an example0
Conversational QA Dataset Generation with Answer Revision0
On the Elements of Datasets for Cyber Physical Systems Security0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
RealFlow: EM-based Realistic Optical Flow Dataset Generation from VideosCode1
Synthetic Dataset Generation for Adversarial Machine Learning ResearchCode6
Automatic dataset generation for specific object detection0
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
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