Oct 2, 2018 · We propose an original solution with entropic optimal transportation. It allows to learn in an end-to-end fashion deep neural networks that are, to some extent ...
Furthermore, the label noise could occur due to the misregistration of satellite images. Hence in general, large scale datasets might mostly contain ...
The loss correction approaches employ the correctness procedure to adjust the loss function to eliminate the influence of the noisy labels by forward and ...
A new RSSC-oriented error-tolerant deep learning approach to mitigate the adverse effect of incorrect labels of the remote sensing image scene dataset and a ...
It allows to learn in an end-to-end fashion deep neural networks that are, to some extent, robust to inaccurately labeled samples. We empirically demonstrate on ...
DeepJDOT: Deep Joint Distribution Optimal Transport ... An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing ...
An entropic optimal transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst., 191:102863,.
Title: An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. Authors: Bharath Bhushan Damodaran ...
Optimal transport distances have found many applications in machine learning for their capacity to compare non-parametric probability distributions. Domain ...
Seguy, N. Courty, An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images, Computer Vision and Image ...