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 2130 of 308 papers

TitleStatusHype
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset0
Contextual Paralinguistic Data Creation for Multi-Modal Speech-LLM: Data Condensation and Spoken QA Generation0
Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM EvaluationCode1
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility0
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
Estimating Commonsense Scene Composition on Belief Scene Graphs0
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