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 241250 of 308 papers

TitleStatusHype
Cognition Chain for Explainable Psychological Stress Detection on Social MediaCode0
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving ScenariosCode0
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website DetectionCode0
Learning Camera Miscalibration DetectionCode0
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method MappingCode0
Learning to Compute Gröbner BasesCode0
Learning to Propagate for Graph Meta-LearningCode0
TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination EvaluationCode0
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic SegmentationCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
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