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SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
Safe navigation of autonomous agents in human centric environments requires the ability to understand and predict motion of neighboring pedestrians.
Towards Improved Testing For Deep Learning
The growing use of deep neural networks in safety-critical applications makes it necessary to carry out adequate testing to detect and correct any incorrect behavior for corner case inputs before they can be actually used.
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