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 4150 of 308 papers

TitleStatusHype
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation0
Automating 3D Dataset Generation with Neural Radiance FieldsCode0
Transport-Related Surface Detection with Machine Learning: Analyzing Temporal Trends in Madrid and ViennaCode0
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA0
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets0
ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making0
Technical report of a DMD-based Characterization Method for Vision Sensors0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval0
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