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
GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models0
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture0
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios0
Model-Driven Dataset Generation for Data-Driven Battery SOH Models0
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset GenerationCode1
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution0
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation0
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