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 221230 of 308 papers

TitleStatusHype
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios0
V^2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations0
ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition0
Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors0
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval0
Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model0
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation0
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems0
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