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 271280 of 308 papers

TitleStatusHype
Automating 3D Dataset Generation with Neural Radiance FieldsCode0
Building Large Machine Reading-Comprehension Datasets using Paragraph VectorsCode0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative ModelsCode0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye ImagesCode0
Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume BehaviorCode0
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classificationCode0
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset GenerationCode0
Show:102550
← PrevPage 28 of 31Next →

No leaderboard results yet.