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cs.CV2021
Generating Attribution Maps with Disentangled Masked Backpropagation
Adria Ruiz, Antonio Agudo, Francesc Moreno
Attribution map visualization has arisen as one of the most effective techniques to understand the underlying inference process of Convolutional Neural Networks. In this task, the…
cs.CV2020★ 8 cited
Differentiable Data Augmentation with Kornia
Jian Shi, Edgar Riba, Dmytro Mishkin +2
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 module leverages different…