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 271280 of 308 papers

TitleStatusHype
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA0
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset0
Exploration of Cross-lingual Summarization for Kannada-EnglishLanguage Pair0
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning0
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks0
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness0
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios0
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)0
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier0
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