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 281290 of 308 papers

TitleStatusHype
Synthetic Dataset Generation with Itemset-Based Generative Models0
Through Fog High-Resolution Imaging Using Millimeter Wave Radar0
Learning Camera Miscalibration DetectionCode0
Unsupervised Multi-label Dataset Generation from Web Data0
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment0
Private Dataset Generation Using Privacy Preserving Collaborative LearningCode0
Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern0
Smart Home Appliances: Chat with Your FridgeCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection0
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