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 191200 of 308 papers

TitleStatusHype
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation0
MVTrans: Multi-View Perception of Transparent Objects0
Neural Error Covariance Estimation for Precise LiDAR Localization0
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation0
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds0
Accelerating Edge Intelligence via Integrated Sensing and Communication0
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications0
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment0
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment0
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