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
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks0
SDW-ASL: A Dynamic System to Generate Large Scale Dataset for Continuous American Sign Language0
SEC-QA: A Systematic Evaluation Corpus for Financial QA0
Unbiased General Annotated Dataset Generation0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution0
Selection of Waveform Parameters Using Machine Learning for 5G and Beyond0
A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph0
Full-range Head Pose Geometric Data Augmentations0
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering0
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation0
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