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Found 9 papers, 1 papers with code
Underwater Sound Speed Profile Construction: A Review
The proposal of SSP inversion method greatly improves the convenience and real--time performance, but the accuracy is not as good as the direct measurement method.
Adversarial Examples that Fool Detectors
An adversarial example is an example that has been adjusted to produce a wrong label when presented to a system at test time.
Standard detectors aren't (currently) fooled by physical adversarial stop signs
Finally, an adversarial pattern on a physical object that could fool a detector would have to be adversarial in the face of a wide family of parametric distortions (scale; view angle; box shift inside the detector; illumination; and so on).
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Instead, a trained neural network classifies most of the pictures taken from different distances and angles of a perturbed image correctly.
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
SceneProof applies to images captured with depth maps (RGBD images) and checks if a pair of image and depth map is consistent.
Learning Diverse Image Colorization
Finally, we build a conditional model for the multi-modal distribution between grey-level image and the color field embeddings.
A Visual Representation for Editing Face Images
First, it allows a user to directly manipulate various illumination.
CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation
Such a model is difficult to train, because we do not usually have training data containing many different shadings for the same image.
Sparse Depth Super Resolution
We describe a method to produce detailed high resolution depth maps from aggressively subsampled depth measurements.
