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 251260 of 308 papers

TitleStatusHype
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection0
A New Tool for Efficiently Generating Quality Estimation Datasets0
An Evolutionary Large Language Model for Hallucination Mitigation0
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions0
DiffAge3D: Diffusion-based 3D-aware Face Aging0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources0
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection0
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting0
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