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 8190 of 308 papers

TitleStatusHype
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset GenerationCode0
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-CheckingCode0
Learning Camera Miscalibration DetectionCode0
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye ImagesCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website DetectionCode0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
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