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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

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Showing 176–200 of 308 papers

TitleStatusHype
Learning to Compute Gröbner BasesCode0
Masked Face Dataset Generation and Masked Face RecognitionCode0
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection—0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources—0
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization—0
LLMaAA: Making Large Language Models as Active AnnotatorsCode1
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models—0
Location-Aware Visual Question Generation with Lightweight ModelsCode0
AutoHall: Automated Hallucination Dataset Generation for Large Language Models—0
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
Dataset Generation and Bonobo Classification from Weakly Labelled VideosCode0
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM NetworkCode1
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph EngineeringCode1
Prompt2Model: Generating Deployable Models from Natural Language InstructionsCode4
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
Supervised Homography Learning with Realistic Dataset GenerationCode1
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order FlippingCode0
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models—0
NeuroGraph: Benchmarks for Graph Machine Learning in Brain ConnectomicsCode1
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