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
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution0
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey0
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection0
Analyzing the Nuances of Transformers' Polynomial Simplification Abilities0
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network0
Through Fog High-Resolution Imaging Using Millimeter Wave Radar0
A large-scale, physically-based synthetic dataset for satellite pose estimation0
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments0
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs0
Block and Detail: Scaffolding Sketch-to-Image Generation0
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