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

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Showing 201–210 of 308 papers

TitleStatusHype
One-Shot Federated Learning with Classifier-Free Diffusion Models—0
On the Elements of Datasets for Cyber Physical Systems Security—0
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models—0
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios—0
Training dataset generation for bridge game registration—0
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection—0
Automatic dataset generation for specific object detection—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation—0
Transfer learning for self-supervised, blind-spot seismic denoising—0
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