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 151160 of 308 papers

TitleStatusHype
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
KoCoSa: Korean Context-aware Sarcasm Detection DatasetCode0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness0
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object DetectionCode2
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial ImageryCode1
Accelerating PDE Data Generation via Differential Operator Action in Solution Space0
Synthetic Dialogue Dataset Generation using LLM AgentsCode0
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case StudyCode0
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter0
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