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Found 5 papers, 1 papers with code
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation
There has been increasing interest in characterising the error behaviour of systems which contain deep learning models before deploying them into any safety-critical scenario.
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Deep neural networks have improved image classification dramatically over the past decade, but have done so by focusing on performance measures that treat all classes other than the ground truth as equally wrong.
Imagining the Unseen: Learning a Distribution over Incomplete Images with Dense Latent Trees
Images are composed as a hierarchy of object parts.
A Dataset for Lane Instance Segmentation in Urban Environments
Autonomous vehicles require knowledge of the surrounding road layout, which can be predicted by state-of-the-art CNNs.
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