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 76100 of 308 papers

TitleStatusHype
Affordance Learning for End-to-End Visuomotor Robot ControlCode0
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset GenerationCode0
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-CheckingCode0
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order FlippingCode0
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral DiscCode0
Location-Aware Visual Question Generation with Lightweight ModelsCode0
Masked Face Dataset Generation and Masked Face RecognitionCode0
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye ImagesCode0
Learning Camera Miscalibration DetectionCode0
JAPAGEN: Efficient Few/Zero-shot Learning via Japanese Training Dataset Generation with LLMCode0
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
Learning to Compute Gröbner BasesCode0
ADG-Pose: Automated Dataset Generation for Real-World Human Pose EstimationCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website DetectionCode0
Learning to Propagate for Graph Meta-LearningCode0
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning BenchmarksCode0
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classificationCode0
Drone Detection using Deep Neural Networks Trained on Pure Synthetic DataCode0
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling AutonomyCode0
Dataset Generation and Bonobo Classification from Weakly Labelled VideosCode0
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