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 181190 of 308 papers

TitleStatusHype
Towards Real-World Category-level Articulation Pose Estimation0
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation0
ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation0
Model-Driven Dataset Generation for Data-Driven Battery SOH Models0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning0
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text0
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection0
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping0
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