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Found 3 papers, 1 papers with code
Semantically Stealthy Adversarial Attacks against Segmentation Models
One challenge is making semantically meaningful manipulations across datasets and models.
Stepwise Goal-Driven Networks for Trajectory Prediction
We propose to predict the future trajectories of observed agents (e. g., pedestrians or vehicles) by estimating and using their goals at multiple time scales.
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Trajectory Prediction
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P-CapsNets: a General Form of Convolutional Neural Networks
The experiment shows that P-CapsNets achieve better performance than CapsNets with varied routing procedures by using significantly fewer parameters on MNIST\&CIFAR10.
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