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 276300 of 308 papers

TitleStatusHype
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
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-CheckingCode0
A universal synthetic dataset for machine learning on spectroscopic dataCode0
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2Code0
F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of NanoparticlesCode0
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
Enhancing Clinical Models with Pseudo Data for De-identificationCode0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Private Dataset Generation Using Privacy Preserving Collaborative LearningCode0
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Drone Detection using Deep Neural Networks Trained on Pure Synthetic DataCode0
Towards Realistic Underwater Dataset Generation and Color RestorationCode0
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral DiscCode0
Affordance Learning for End-to-End Visuomotor Robot ControlCode0
Synthetic dataset generation for object-to-model deep learning in industrial applicationsCode0
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient ConstraintsCode0
Dataset Generation and Bonobo Classification from Weakly Labelled VideosCode0
Synthetic Dataset Generation of Driver TelematicsCode0
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