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 2130 of 308 papers

TitleStatusHype
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language ModelsCode1
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationCode1
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion ModelsCode1
Global Tensor Motion PlanningCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
PADetBench: Towards Benchmarking Physical Attacks against Object DetectionCode1
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