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 301308 of 308 papers

TitleStatusHype
Affordance Learning for End-to-End Visuomotor Robot ControlCode0
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation0
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic DataCode0
Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN0
Automated dataset generation for image recognition using the example of taxonomy0
Building Large Machine Reading-Comprehension Datasets using Paragraph VectorsCode0
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection0
A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset0
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