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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

Showing 8190 of 308 papers

TitleStatusHype
F-ANcGAN: An Attention-Enhanced Cycle Consistent Generative Adversarial Architecture for Synthetic Image Generation of NanoparticlesCode0
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets0
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic SegmentationCode0
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks0
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
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
Noisemaker 3D: Comprehensive Framework for Mesh Noise GenerationCode0
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