We propose the use of fractals as a means of efficient data augmentation.
Ranked #1 on No real Data Binarization on DIBCO and H_DIBCO 2009
In this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors.
This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons.
Ranked #1 on Edge Detection on CID
We introduce a novel approach for keypoint detection task that combines handcrafted and learned CNN filters within a shallow multi-scale architecture.
Ranked #6 on Image Matching on IMC PhotoTourism