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
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
Detecting Anti-Vaccine Users on TwitterCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
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