Search Results for author:
Found 4 papers, 1 papers with code
Resolution based Feature Distillation for Cross Resolution Person Re-Identification
Most of the existing approaches resolve the re-id task as low resolution problem in which a low resolution query image is searched in a high resolution images gallery.
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Regional adversarial attacks often rely on complicated methods for generating adversarial perturbations, making it hard to compare their efficacy against well-known attacks.
Lower bounds on the robustness to adversarial perturbations
The input-output mappings learned by state-of-the-art neural networks are significantly discontinuous.
Point Triangulation Through Polyhedron Collapse Using the l[?] Norm
Multi-camera triangulation of feature points based on a minimisation of the overall L2 reprojection error can get stuck in suboptimal local minima or require slow global optimisation.
