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 5160 of 308 papers

TitleStatusHype
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
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