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 121130 of 308 papers

TitleStatusHype
LeagueAI: Improving object detector performance and flexibility through automatically generated training data and domain randomizationCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
Synthetic Dataset Generation of Driver TelematicsCode0
Synthetic Dialogue Dataset Generation using LLM AgentsCode0
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning BenchmarksCode0
Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano ThingsCode0
Cognition Chain for Explainable Psychological Stress Detection on Social MediaCode0
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