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 161170 of 308 papers

TitleStatusHype
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment0
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs0
Realistic Surgical Image Dataset Generation Based On 3D Gaussian Splatting0
LSD3K: A Benchmark for Smoke Removal from Laparoscopic Surgery Images0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation0
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNsCode0
Synthetic data: How could it be used for infectious disease research?0
Semantically Rich Local Dataset Generation for Explainable AI in GenomicsCode0
Channel Modeling Aided Dataset Generation for AI-Enabled CSI Feedback: Advances, Challenges, and Solutions0
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