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 7180 of 308 papers

TitleStatusHype
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
A systematic dataset generation technique applied to data-driven automotive aerodynamics0
Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions0
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking0
A large-scale, physically-based synthetic dataset for satellite pose estimation0
A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph0
A Seed-Augment-Train Framework for Universal Digit Classification0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection0
Artificial Neural Network for Resource Allocation in Laser-based Optical wireless Networks0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets0
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